Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Zhang, Guanhong | Brown, Peter | Li, Guobin

Article Type: Research Article

Abstract: With the maturity of virtualization technology, cloud computing has brought us new computing and service models. Adopting a resource pool solution based on cloud computing architecture, the virtualized resources can be uniformly managed and deployed to achieve the purpose of automated and intelligent management of information systems. However, because cloud servers have some features that are different from ordinary hosts, existing intrusion detection technologies cannot be directly applied to cloud computing. This paper focuses on the real-time dispatching of people. The main innovation of this paper is to apply BP neural network technology to the real-time dispatching of intelligent people, …establish the time prediction model of intelligent dispatching of people based on BP neural network, and design the intelligent dispatching algorithm of people based on BP neural network, and use examples to analyze the opposition to verify the feasibility of the algorithm. The results show that the algorithm improves the classification accuracy of neural networks and shortens the training time of samples. It improves the efficiency of intelligent dispatch detection, the accuracy of results and the efficiency of explicit algorithm. Show more

Keywords: Intelligent Scheduling, BP neural network, Cloud Computing, Real-time

DOI: 10.3233/JIFS-179158

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Zhao, Zhongying | Zhou, Hui | Zhang, Bijun | Ji, Fujiao | Li, Chao

Article Type: Research Article

Abstract: High influential users are playing an important role in promoting information propagation in social media. Thus, it has been a very interesting problem to identify influential users in social media, and attracted numerous researchers. A great deal of research work has been devoted to solving this problem. However, the existing methods mainly focus on the network topology, ignoring users’ behaviors. In this paper, we propose an High Influential Users Detection (HIUD) algorithm by analyzing users’ behaviors. To evaluate the performance of our algorithm, we carry out extensive experiments on Sina and Tencent microblogging data sets, and compare it with other …methods. The experimental results have shown that the HIUD achieves the best performance. Furthermore, we also make a spatial analysis on those high influential users with thermodynamic map. Show more

Keywords: Influential user detection, user behavior analysis, clustering, social media data mining

DOI: 10.3233/JIFS-182512

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Mao, Hua | Zheng, Zhen

Article Type: Research Article

Abstract: In order to find a more efficient method for constructing a fuzzy concept lattice, This paper applies graph theory to a fuzzy formal context. A fuzzy formal context is represented by a weighted graph. A method for generating all crisp-fuzzy concepts by a weighted graph is proposed and the corresponding algorithm–Algorithm 1 is given in a fuzzy formal context. Through algorithm analysis, it is illustrated that Algorithm 1 is better than some of existed algorithms to obtain crisp-fuzzy concepts in a fuzzy formal context.

Keywords: Fuzzy formal concept, crisp-fuzzy concept, graph theory

DOI: 10.3233/JIFS-181642

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Liu, Zimei | Xie, Yi | Zhang, Hao

Article Type: Research Article

Abstract:  Stampede accidents with serious injuries occur from time to time on escalators. Filed observation was conducted on four typical passenger behaviors during taking escalators, namely, walking behavior, subgroup behavior, overtaking behavior and waiting behavior. The effect of behavior characteristics on passenger safety was analyzed according to the observation data. Several scenarios were simulated to quantitatively study the impact of passenger behaviors on crowd stampede risk under different situations. The results show that: (1) the presence of subgroup behavior and overtaking behavior increases the crowd stampede risk by increasing the crowd density and the degree of congestion on the connection plane; …(2) the walking behavior reduces the crowd density; (3) the “walk left, stand right” rule decreases the evacuation efficiency; (4) waiting behavior of passengers on the connection plane significantly increases the crowd stampede risk. Management measures were proposed to promote the passenger safety and reduce the stampede injury on escalators. Show more

Keywords: Passenger safety, crowd stampede risk, passenger behavior, escalator, simulation

DOI: 10.3233/JIFS-179156

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Heda, Zhang

Article Type: Research Article

Abstract: Machinery and equipment are widely used in modern large-scale production, while industrial large-scale production and the progress of science and technology make machinery and equipment more complex and large-scale. Traditional mechanical diagnosis technology cannot meet the actual diagnosis requirements. The residual life of the whole equipment is predicted. This is of great significance for improving the efficiency of equipment, enhancing reliability, reducing maintenance costs and prolonging service life. The advantages of artificial intelligence in solving the problems of remote control, fault diagnosis and non-linearity point out the direction of the development of mechanical fault diagnosis technology. The research shows that …the fault prediction and maintenance process based on the operating state of the device is summarized into three steps: data acquisition, data processing and equipment remaining life prediction. The comprehensive detection algorithm is used for diagnosis, and the diagnosis method is comprehensively analyzed. The research shows that after optimizing the network parameters through human intelligence, the network convergence speed is obviously accelerated, which can be used as a performance-based pattern recognition system for fault diagnosis of mechanical equipment. Show more

Keywords: Artificial intelligence, machinery and equipment, fault diagnosis

DOI: 10.3233/JIFS-179157

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Libo, Zhou | Tian, Huang | Chunyun, Guan | Elhoseny, Mohamed

Article Type: Research Article

Abstract: A fundamental problem facing deep neural networks is that they require a large amount of data to keep the system efficient in complex applications. Promising results of this problem are made possible by using techniques such as data enhancement or transfer learning in large data sets. However, when the application provides limited or unbalanced data, the problem persists. In addition, the number of false positives generated by deep model training has a significant negative impact on system performance. This study aims to solve the problem of false positives and class imbalances by implementing an improved filter library framework for Cole …pest identification. The system consists of three main units: First, the primary diagnostic unit (boundary box generator) generates a bounding box containing the location of the infected area and class. Then, the promising box belonging to each category is used as an input to the secondary diagnostic unit (CNN filter bank) for verification. In the second unit, the misclassified samples are filtered by training for each category of independent CNN classifiers. The result of the CNN filter bank is to determine if a target belongs to the category because it is detected (true) or no (false), otherwise. Finally, an integrated unit combines the information of the autonomous unit and the secondary unit in the future while maintaining a true positive sample and eliminating false positives of misclassification in the first unit. By this implementation, the recognition rate of this method is about 96%, which is 13% higher than our previous work in the complex task of Cole disease and pest identification. In addition, our system is able to handle false positives generated by bounding box generators and class imbalances that occur on data sets with limited data. Show more

Keywords: Plant diseases, detection, deep neural networks, filter banks, false positives

DOI: 10.3233/JIFS-179155

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Nannan, Zhang | Chao, Luo

Article Type: Research Article

Abstract:  This paper proposes a fuzzy cognitive map scheme for real-time online data prediction. The fuzzy cognitive maps (FCMs) are constructed on the basis of abstracting a numerical time series into a limited number of nodes (concepts), and used as a modeling tool for predicting time series. By representing time series in terms of information granules constructed in the space of amplitude and change of amplitude of the time series, a fuzzy cognitive map is dynamically constructed by using the set of information granule, where the particle swarm optimization (PSO) is utilized to study the parameters. In order to find better …weights in the global search process, each parameter of the particle swarm algorithm (PSO) is not set to a fixed value but adaptively changes. In this paper, a dynamic fuzzy C-means clustering algorithm is used to online adjust the cluster center and weight according to the impact of the incoming data at the current moment such that the model can capture real-time changes in the data information. The proposed approach is illustrated in detail by a series of experiments using a collection of publicly available data. Show more

Keywords: Fuzzy cognitive maps, information granules, particle swarm optimization (PSO), dynamic fuzzy C-means

DOI: 10.3233/JIFS-181064

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Farouk, Ahmed | Zhen, Dou

Article Type: Editorial

Keywords: Big data analysis, scientific computing, data-driven service management, data processing for intelligent systems

DOI: 10.3233/JIFS-179109

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-5, 2019

Authors: Barzegar, Behnam | Motameni, Homayun | Movaghar, Ali

Article Type: Research Article

Abstract:  Energy consumption and performance metrics have become critical issues for scheduling parallel task-based applications in high-performance computing systems such as cloud datacenters. The duplication and clustering strategy, as well as Dynamic Voltage Frequency Scaling (DVFS) technique, have separately been concentrated on reducing energy consumption and optimizing performance parameters such as throughput and makespan. In this paper, a dual-phase algorithm called EATSDCD which is an energy efficient time aware has been proposed. The algorithm uses the combination of duplication and clustering strategies to schedule the precedence-constrained task graph on datacenter processors through DVFS. The first phase focuses on a smart combination …of duplication and clustering strategy to reduce makespan and energy consumed by processors in an effort to execute Directed Acyclic Graph (DAG) while satisfying the throughput constraint. The main idea behind EATSDCD intended to minimize energy consumption in the second phase. After determining the critical path and specifying a set of dependent tasks in non-critical paths, the slack time for each task in non-critical paths was distributed among all dependent tasks in that path. Then, the frequency of DVFS-enabled processors is scaled down to execute non-critical tasks as well as idle and communication phases, without extending the execution time of tasks. Finally, a testbed is developed and different parameters are tested on the randomly generated DAG to evaluate and illustrate the effectiveness of EATSDCD. It was also compared against duplication and clustering-based algorithms and DVFS-based algorithms. In terms of energy consumption and makespan, the results show that our proposed algorithm can save up to 8.3% and 20% energy compared against Power Aware List-based Scheduling (PALS) and Power Aware Task Clustering (PATC) algorithms, respectively. Furthermore, there is 16% improvement over Parallel Pipeline Latency Optimization (PaPilo) algorithm with Encur  = 1.2Enmin  (G). In comparison with Reliability Aware Scheduling with Duplication (RASD) algorithm, the execution time has been reduced in heterogeneous environments. Show more

Keywords: Green computing, cloud data centers, dynamic voltage and frequency scaling (DVFS), task duplication, energy consumption, slack time, throughput

DOI: 10.3233/JIFS-171927

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2019

Authors: Wang, Haofang | Yun, Ruan | Zhao, Ranhang | Qi, Zhen

Article Type: Research Article

Abstract: Flash flood is one of the most significant natural disasters in China, particularly in mountainous area, causing heavy economic damage and casualties of life. For numerous small hilly basins that need flash flood prevention and control with limited funds, it is necessary to give a priority order or to determine which basin needs to be harnessed firstly. Flash flood risk assessment is critical to an efficient flash flood management. Among many flash flood risk evaluation methods in literatures, variable fuzzy method (VFM) was chosen in this paper. To verify the results of VFM, fuzzy clustering analysis (FCA) is also used. …First, taking Licheng county with 119 small basins in China as an example, 9 indexes were identified among index system, based on disaster-breeding environment (or underlying surface conditions) of small basin in hilly region. Risk levels are divided into three grading levels such as high, medium and low. Second, VFM was introduced, and the flash flood risk grade eigenvalue (H) of each small basin was calculated. The results show that no small basin belongs to high risk level, 14 basins belong to low risk level, and the remaining 105 small basins belong to medium risk level. Third, FCA was used to verify the result of VFM. The results of two methods show that they are nearly in consistence. This paper shows that VFM is feasible for flash flood risk evaluation. Finally, the priorities for flash flood mitigation of 119 small watersheds in Licheng county are mapped out, which will provide effective help for flood disaster mitigation of small basin. Show more

Keywords: Variable fuzzy method, fuzzy clustering analysis, flash flood risk, disaster-breeding environment, small basin

DOI: 10.3233/JIFS-171089

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Ran, Xiuxia | Hossain, Mahmud

Article Type: Research Article

Abstract: In order to strengthen the training of English writing, this paper proposed a new business English writing training strategy based on some state-of-the-art recommendation algorithm. Firstly, we introduced the development of business English writing briefly, and then we studied how the recommendation algorithm is used to construct the English writing training model for the teachers, which can better assist students in business English writing training and reduce the common mistakes in writing. In this paper, we proposed an optimization and update scheme by the state-of-the-art recommendation algorithms. Furthermore, we designed a useful identification model to evaluate the continuous state of …business English writing. The experimental results show that the coding accuracy of English vocabulary and the efficiency of the model can archive a good performance, which can effectively help students to write. This model deserves further promotion and application. Show more

Keywords: New media environment, writing skills, problem recommendation algorithm, business English

DOI: 10.3233/JIFS-179148

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Yue, Q. | Zhang, L.L.

Article Type: Research Article

Abstract: The paper proposes a new approach to solving bipartite matching problems with linguistic scorings. The bipartite matching problem based on strict linguistic scorings is firstly described. Some basic concepts are also introduced, including bipartite matching, stable matching, and satisfaction degree. In the proposed approach, linguistic scoring preferences are changed to satisfaction degree preferences. For maximizing satisfaction degrees of agents, a bipartite matching model under the conditions of matching constraints and stability constraints is developed. Considering the important degrees of agents in each side, the bipartite matching model can be changed to a single target model by using the linear weighting …approach twice. The stable bipartite matching result is determined through model solution. A numerical case is used to state the practicability of the presented approach. Show more

Keywords: Stable bipartite matching, linguistic scoring, satisfaction degree, bipartite matching model

DOI: 10.3233/JIFS-179120

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Yin, Xinzhen | Dylan, Baker

Article Type: Research Article

Abstract: At present, most of the comparative education research concentrated in the macro education field such as international education, which has a significantly influenced the future education. Under this circumstances, this paper studied the development choices of comparative education in colleges and universities in the era of big data. Firstly, a new recommendation algorithm is proposed based on the characteristics of education big data. The comparative evaluation of the matching mode of colleges and universities is studied. Subsequently, we designed a new corresponding differential classification teaching mode on the basis of the naive Bayesian algorithm of comparative education in colleges and …universities. At last, we designed a set of experiments to evaluate the proposed classification system. By comparing the development of comparative education platforms in colleges and universities, the optimal utilization combination of colleges and universities in the era of big data is realized to select the best development direction. Show more

Keywords: Big data, colleges and universities, comparative education, development choice

DOI: 10.3233/JIFS-179149

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Sang, Zhongqing | Zhang, Rencheng

Article Type: Research Article

Abstract: Focused on the security of switchgear, this paper presented a complete set of an online detection system for the temperature rise of switchgear based on branch definition algorithm. This paper analyzed the characteristics of the temperature rise of the low-voltage circuit breaker terminal, and then proposed a new temperature rise model of the terminal through the thermal network method. In this paper, the influence factors of the temperature rise of the terminal analyzed through the test data, and the temperature rise curve also fitted by using the least squares method. The range of temperature rise time constants for the 100A …low-voltage circuit breaker terminal obtained, and the method of quickly deriving the steady temperature rise of the low-voltage circuit breaker terminal discussed. The simulation results show that the optimization of the algorithm can provide a scientific evaluation method and improved strategy for the on-line detection of temperature rise of complete switchgear. Show more

Keywords: Branch definition algorithm, switch equipment, temperature rise

DOI: 10.3233/JIFS-179150

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Liu, Kai | Zhou, Hongmin | Kou, Yuanyuan | Zhang, Jiabao | Zhou, Xujuan | Zhang, Xiantang

Article Type: Research Article

Abstract:  The promotion and use of passive building can effectively promote the modernization of the construction industry and alleviate the increasingly severe environmental and energy crisis. Based on this, the evolutionary game theory is used to establish an evolutionary game model between government and consumers, and the game strategies of both sides are analyzed, the influence of system equilibrium stability and parameters on the stability of evolutionary game is discussed. The dynamic evolution game law of government and consumers based on passive building demand incentive is studied under the premise of limited rationality and fuzzy trust. Then the game trajectory between …stakeholders is simulated by MATLAB software, the effects of parameters and initial intention on the evolution process and results are analyzed. It clearly clarifies the dynamic mechanism of the impact of government incentives on behavioral strategies for consumers to buy passive building. It shows that the passive building demand incentive work is focused on government, and the initial intention of government and consumers will directly affect the behavior strategies of both parties. Aiming at the demand incentives of passive building, the corresponding countermeasures and suggestions are proposed at the three levels of awareness, cost control and income. Show more

Keywords: Passive building, evolutionary game, demand incentive, numerical simulation

DOI: 10.3233/JIFS-179118

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Ma, Jun | Yu, Hongzhi | Wang, Ding | Pu, Cuocairen | Kumar Singh, Amit

Article Type: Research Article

Abstract: “The preservation of endangered ethnic minority languages” and “application of ethnic minority languages” have become an important research direction and topic for the ethnic minority language researchers. Based on the previous studies, the combined quantitative and qualitative analysis was made to carry out a systematic study on vowels and consonants in the Salar language, especially the strong vowels, weak vowels, voiceless consonants, and voiced consonants, in order to create the “Salar Acoustical Phonetics Parameter Database”. According to the relevant norms, the segmentation, labeling, parameters extraction and database creation were conducted against the collected signals, and the experimental research on the …Salar phonetics was implemented by making a comprehensive statistical analysis of the database. Through the study of Salar phonetics based on the Salar Acoustical Phonetics Parameter Database, it not only provides basic parameters of acoustic physiology for preservation and research of Salar language, but also provides the basic data for the future Salar acoustical corpus construction, speech recognition and speech synthesis, and provides a practical theoretical basis for the acoustical research of the national language project under construction. Show more

Keywords: Salar language, voice acoustic, parameters database

DOI: 10.3233/JIFS-179151

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Yang, Ping-yu | Chou, Li-Chen | Wang, Zhan-ao

Article Type: Research Article

Abstract: Using Taiwan’s Manpower Utilization Survey from 2012–2014, this paper investigates the impacts that salary variation caused by insufficient information, then evaluates the condition of information holding between the employee and the employer. The results indicate that the ignorance of employee and employer are deeper in the private sector than that in the public sector; the employees and employer ignorance with the white-collar both larger than the blue-collar. Besides, the results demonstrate insignificantly effect in both ignorance estimation in the public sector, which may reflect the labors enter to the public sector mainly through national examination and cause the insignificant estimation.

Keywords: Taiwan, employee relations, information processing

DOI: 10.3233/JIFS-179152

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Karasan, Ali | Bolturk, Eda | Kahraman, Cengiz

Article Type: Research Article

Abstract: Neutrosphic sets define the uncertainty with three parameters, namely truthiness, indeterminacy and falsity. COmbinative Distance-based ASsessment (CODAS) method computes the Euclidean as the primary measure and Hamming distances as the secondary measure to assess alternatives based on predetermined criteria. In this paper, CODAS method is extended to its interval-valued neutrosophic CODAS version for handling the vagueness and impreciseness in human thoughts. A fuzzy inference system can be used as a decision making process of mapping from a given input to an output using fuzzy logic. The inputs of the used ordinary fuzzy Mamdani type inference system are crisp while the …rules are fuzzy. The applicability of the proposed methodology is illustrated through the assessment of livability index of urban districts. Sensitivity analysis demonstrates the robustness of the decision-making methodology. Show more

Keywords: Livability index, neutrosophic sets, fuzzy inference system, CODAS, decision making

DOI: 10.3233/JIFS-181322

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Sharif, Mohammad | Asghar Alesheikh, Ali | Tashayo, Behnam

Article Type: Research Article

Abstract: Movements of objects take place in different contexts and their trajectories are highly influenced by the contexts. Several studies have been conducted in the last decade on similarity measuring of raw trajectories, but very few have used context information in this process. Because the context information is collected from multifarious sources, it is qualitatively and quantitatively heterogeneous and uncertain. Therefore, the current distance functions are unable to measure the similarities between trajectories by considering the heterogeneous context information. This article presents a new context-aware hybrid fuzzy model, named CaFIRST, to measure the similarity of trajectories by considering not only the …spatial footprints of moving objects but also various types of internal and external context information. CaFIRST is able to handle multi-size trajectories that are contextually enriched by both quantitative (numeric) and qualitative (descriptive) values. The performance of CaFIRST was examined using two real data sets, obtained from pedestrians and cyclists in New York City, USA. The results showed the robustness of CaFIRST for quantifying the commonalities in multivariate trajectories and its sensitivity to small alterations in context information. Furthermore, the effects of internal and external context information on similarity values are shown to be remarkable. Show more

Keywords: Trajectory, similarity measure, context-awareness, multi-objective optimization, hybrid fuzzy inference system (HFIS)

DOI: 10.3233/JIFS-181252

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Zhang, Yulong | Zhou, Yisu | Duan, Lixiang | Zhang, Xin | Jiang, Liuyi

Article Type: Research Article

Abstract: This paper proposes a novel symbolic representation method of feature extraction for fault diagnosis and condition monitoring. The Symbolic Aggregate approXimation (SAX) technique basically transforming real-valued time series into symbol sequences, has been proven as a newly developed tool of feature extraction for fault diagnosis. However, the original SAX is based on the Piecewise Aggregate Approximation (PAA) representation, which is primarily transformed by the calculation of mean value of the equal sized data subsection for dimensionality reduction. Such mean value-based method has a high possibility of missing important information patterns in vibration signals. To overcome this limitation, an enhanced SAX …(ESAX) is proposed to extract fault features well from vibration signals. The ESAX utilizes mean value together with two additional important points (the max and min points) to conduct the symbol representation in PAA process. Next, the Shannon entropy technique is conducted on the symbol sequences generated by ESAX to extract features for classification tasks. Compared with SAX, the ESAX can extract more comprehensive signal characteristics considering important information points and local fault patterns. The effectiveness and superiority of the ESAX were validated by experimental studies using the fault signals of rolling bearings. Show more

Keywords: Symbolic aggregate approximation (SAX), enhanced SAX, bearing defect diagnosis, fault pattern

DOI: 10.3233/JIFS-181246

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Li, Shuangdong | Xu, Jing | Cele, Ste

Article Type: Research Article

Abstract:  Path planning is an important part of logistics management and an important part of intelligent transportation system. The shortest path problem in graph theory is the theoretical basis of path planning. On this basis, this paper studies the application of graph theory in logistics management and transportation linkage and its computer-aided model design. In order to give full play to the advantages of the optimized road network model, this paper adopts the matching path planning algorithm and control strategy. The optimized road network model puts forward a partition method based on data quantity and connectivity principle and realizes the equalization …of partition data quantity. Compared with the general road network model, the established road network partition is more reasonable and more in line with the actual requirements of the path planning algorithm. Through the research in this paper, it provides a reasonable and effective solution for practical application, which is innovative and practical. Show more

Keywords: Graph theory, logistics management, transportation path

DOI: 10.3233/JIFS-179134

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Peng, Hu | Deng, Changshou | Wu, Zhijian

Article Type: Research Article

Abstract:  As a new and promising swarm intelligence algorithm, brain storm optimization (BSO) has drawn more attention of researches and has been successfully applied to solve the real-world optimization problems. However, too many parameters make the algorithm more complex and greatly limit the convergence performance. Thus, this paper proposed a novel BSO variant, named self-adaptive BSO with p best guided step-size (SPBSO), in which a simple self-adaptive strategy is employed to choose a creating strategy in a random manner rather than depending on several adjustable parameters. In addition, the p best guided step-size and dynamic clustering number are used to accelerate …the convergence speed. The experimental studies have been tested on a set of widely used benchmark functions (including the CEC 2014 problems). Experimental results and comparison with the state-of-the-art BSO variants and some recently proposed PSO and DE algorithms, have proved that the proposed algorithm is competitive. Show more

Keywords: Brain storm optimization, global optimization, self-adaptive strategy, pbest guided step-size

DOI: 10.3233/JIFS-181310

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Sun, Hongxia

Article Type: Research Article

Abstract:  University educational administration management system is one of the core tasks of digital campus. Data mining is a technology that taps potential information from a large amount of data according to a specific algorithm for researchers to analyze. The experimental comparison between the improved algorithm and the unmodified algorithm shows that the improved algorithm has better performance and can improve the convergence speed of the clustering and the accuracy of the clustering results. The improved algorithm is applied to the mining of student achievement evaluation. Finally, according to the comparison of the results of the traditional rating criteria with the …dynamic rating evaluation results, the results confirm the rationality and feasibility of the management of college computer network education according to the clustering algorithm. According to the cluster analysis of these two models, it shows that it is meaningful to introduce data mining into the management of college computer network education administration. Show more

Keywords: Data mining, clustering algorithm, teaching management

DOI: 10.3233/JIFS-179133

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Shuzhen, He

Article Type: Research Article

Abstract:  In order to adapt to the rapid development of IoT (Internet of things), the demand for innovative talents in modern enterprises is becoming more and more urgent. Innovation capability and level are characterized by knowledge economy, which is the decisive foundation for the development of the country and society. Starting from the needs of human resources, the training mode of innovative talents in Universities of science and engineering is studied. On the basis of the analysis of the methodological principles of the TRIZ theory, the characteristics of the talents in the IoT are combined. The training of innovative thinking is taken …as the guidance, refining the scheme according to the knowledge based tools, and the training of the creative ability of the talents is guided, using the criteria of judging ideality to evaluate the achievements of the innovation. Simulation experiments show that this research can effectively improve the training effect of innovative talents. Show more

Keywords: IoT, human resources, science and engineering universities, talents, research

DOI: 10.3233/JIFS-179132

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Xu, Dacheng | Rappaport, Theodore S.

Article Type: Research Article

Abstract:  In order to perfect the evaluation index system of physical education specialized track and field general course, USES wireless network technology is used to construct it. The development status of the combination of teaching indexes and Internet is explained firstly in this paper, with the evaluation index model of track and field general course teaching constructed by using wireless network technology. The risk evaluation indexes of students’ physical quality, class attention and self-quality are discussed in this model from three aspects and the algorithm is used to improve the evaluation data. In the test of teaching evaluation model, the model …is putting into use in school evaluation system. The test has proved that after the implementation of the model, the comprehensive risk assessment data and evaluation index data measured are more robust, which is conducive to adjusting the teaching plan. Show more

Keywords: Wireless network technology, teaching evaluation index system of track and field general course, teaching evaluation system

DOI: 10.3233/JIFS-179147

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Li, Xingguo | Liu, Dong | Huang, Haiying | Wang, Junfeng

Article Type: Research Article

Abstract:  With the rapid development of information technology, the era of big data has come. This paper focuses on the analysis and processing of data. How to mine valuable information in large data has been widely concerned by mining frequent itemsets in the data to derive. Association rules are an important part of data mining technology. The analysis of complex network structure based on improved botnet algorithm is the basis of network science. The study of complex network structure is helpful to understand and predict large data of complex network function and behavior. The conclusion of the system in the botnet …algorithm process analysis provides some directional suggestions for the improvement of search engine functions and services. In theory, a set of simple and easy botnet algorithm for analyzing the satisfaction factors of clustering is proposed. The practice proves that the big data intelligent search engine based on differential evolution botnet algorithm has significant improvement in retrieval time, recall rate and precision, and can effectively realize personalized and accurate search. A complete big data mining system is implemented, which provides an efficient and easy-to-use tool for data mining botnet algorithms on large data sets. Show more

Keywords: Botnet algorithm, big data intelligent search, engine research

DOI: 10.3233/JIFS-179146

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Bin, Yi | Mandal, Durbadal

Article Type: Research Article

Abstract:  The automatic scoring of English composition is an inevitable trend of the rapid development of computer technology and artificial intelligence technology. This makes the research on the automatic scoring system of the composition more theoretical and feasible. The integration of information technology and English curriculum has deepened the application of artificial intelligence in the field of teaching, creating a new opportunity for the optimization of English teaching process, and opening up a new space for the creation of intelligent and personalized English teaching environment. Based on the integration of information technology and curriculum, aiming at improving the quality and effect …of English teaching in middle schools, this paper explores the application of artificial intelligence in English teaching in middle schools by using relevant theories of curriculum theory, literature analysis and field investigation. An implementation plan of College English assisted instruction system based on AI technology is proposed. Combined with English teaching, some functions of the English teaching system are improved and humanized. The application of artificial intelligence technology in English teaching is explored in order to improve the quality and effect of English teaching. Show more

Keywords: artificial intelligence, teaching English, system construction

DOI: 10.3233/JIFS-179141

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Liu, Tianli

Article Type: Research Article

Abstract:  In order to further explore the driving factors of enterprise development, the cloud computing-based enterprise business model innovation driving force model is proposed. Firstly, the development of cloud computing is expounded, supplementing the driving factors of enterprise development. Finally, cloud computing processing model is used to plan the data of enterprise innovation driving force and build a driving innovation model. An optimization and update scheme is put forward from algorithm flow and evaluation model, and an effective identification model is established by effectively evaluating the development pattern of business driving force. In the test of the enterprise innovation driving model, …the efficiency of enterprise innovation and the data accuracy of data mining algorithms are tested. The test results show that the addition of computer algorithms makes the innovation efficiency of enterprises and the positioning of enterprises more precise. The model is worth further promotion. Show more

Keywords: Cloud computing, data warehouse, business models, innovation drivers

DOI: 10.3233/JIFS-179140

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Zhou, Ling | Cho, Joungyung,

Article Type: Research Article

Abstract:  Traditional cultural symbols widely appear in visual communication design. The development of visual communication design has greatly promoted the development and modernization of traditional culture. After analyzing the research status of genetic algorithm in the field of traditional culture, this paper finds that the application of genetic algorithm is less, and there is no specific application of relevant models. Therefore, this paper codes the traditional cultural symbols and constructs a visual communication design model based on artificial intelligence model, which can effectively solve the problem that the fuzzy measure cannot be fused. In order to better apply traditional cultural symbols …to visual communication design based on this model, genetic algorithm technology is further proposed to superimpose the two. In order to verify the application effect of the model, the coding efficiency and computational efficiency of the model are tested. It can be seen from the experiment that the artificial intelligence visual communication design model based on genetic algorithm has higher coding efficiency of traditional cultural symbols and computing efficiency of genetic algorithm, which has certain application value. Show more

Keywords: Genetic algorithm, design, traditional culture symbol, visual communication design

DOI: 10.3233/JIFS-179143

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Ma, Yu

Article Type: Research Article

Abstract:  At the moment, it is the hot period of the development of economic globalization. All parts of the world are actively developing a green and healthy sustainable development economy. In this process, it is necessary to adjust the necessary economic structure. Financial and monetary policy is one of the key ways. Through rational and scientific regulation of financial and monetary policies, we can effectively promote the rationality of economic structure adjustment. An optimization and update scheme is proposed from algorithm flow and evaluation model, and an effective identification model is established by effectively evaluating the data connection status of financial …model. The FreeSpace model and cvtouch mode in wireless network technology are used to build a cluster environment with high efficiency in dealing with financial data. The EGARCH model is used to study the impact of financial and monetary policies on economic restructuring, hoping to provide new ideas for future policy formulation. Show more

Keywords: Wireless network technology, financial and monetary policy, economic structure

DOI: 10.3233/JIFS-179136

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Zhang, Ming

Article Type: Research Article

Abstract:  With the rapid development of wireless communication and related technology, wireless network is becoming the foundation for people to pursue information and access information and enjoy convenient network services anytime and anywhere. The purpose is to prevent camouflage and prevent the access and access of illegal users. It plays an important role in the security of wireless network under the open environment. The key agreement, handover authentication and group key management are mainly studied in wireless network security, and a self-healing group key management scheme is proposed with revocation capability in wireless sensor networks. This scheme of group key management …self-healing properties and rebellious node can undo capability through two-way key chain and broadcast polynomial, can satisfy the security requirements of wireless sensor networks in a group key management of wireless communication under the environment of high packet loss rate, and can ensure that the group key secrecy, forward secrecy and backward secrecy. Show more

Keywords: wireless network, password update, security attributes

DOI: 10.3233/JIFS-179138

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2019

Authors: Zhang, Xiaojuan | Alijla, Basem

Article Type: Research Article

Abstract:  In order to further promote the development of erhu, an inheritance and innovation model research in the development of erhu art is proposed based on intelligent algorithm. The development of erhu is expounded, with the intelligent algorithm used to construct the erhu learning model, which can simplify the skills in erhu learning, make it more easy to understand, and get better inheritance and development. An optimization and updating scheme is proposed from the algorithm flow and evaluation model. By effectively evaluating the data connection state of the erhu art model, an effective identification model is established, and the corresponding optimization …results are given. In the test for the erhu learning model, the efficiency of the erhu teaching and the data accuracy of the computer algorithm are tested. The test results show that the addition of artificial intelligence makes the erhu teaching more simple, and the teaching content is more accurate, which is worth further promotion and development. Show more

Keywords: Neural network algorithm, erhu art, Inheritance and innovation

DOI: 10.3233/JIFS-179135

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Li, Yukuan | Chu, Liang | Zhang, Yuanjian | Guo, Chong | Fu, Zicheng | Gao, Jianbing

Article Type: Research Article

Abstract:  With the continuous improvement of the economic level of various countries and the continuous development of urbanization, the problems of urban traffic congestion and traffic accidents are also increasing. In recent years, the development of computer vision and the emergence of webcam in traffic roads provide a convenient condition for the realization of intelligent traffic video tracking. In order to realize the video tracking technology in intelligent traffic, the target detection and tracking of the moving objects such as vehicles and human beings should be carried out first, and the detection and tracking of the moving target in the foreground …map is of great practical significance and practical value. Based on this problem, the open source image processing library of hardware video server and software – Open CV is applied to design and implement intelligent transportation video tracking technology. The intelligent traffic monitoring, target track monitoring, abnormal target occurrence monitoring, target retention monitoring, target oriented mobile monitoring and other intelligent behavior functions are completed to achieve intelligent traffic video tracking. As a result, intelligent traffic management and better maintenance of traffic order is achieved. Show more

Keywords: Video tracking, intelligent transportation, mobile detection, computer

DOI: 10.3233/JIFS-179137

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Yuan, Qingwen

Article Type: Research Article

Abstract:  Cross border logistics and cross-border e-commerce are complementary relations. On the one hand, cross-border logistics has promoted the development of cross-border e-commerce. On the other hand, the development of cross-border e-commerce brings more opportunities for the construction of cross-border logistics. With the continuous progress and innovation of technology, the new technology represented by AI (Artificial Intelligence) is relatively mature. The application of intelligent logistics system in cross border e-commerce logistics industry will become the trend of international logistics development. Based on this, the construction mechanism and algorithm of cross-border e-commerce export logistics mode are analyzed from the perspective of value …chain. From the perspective of value chain, a BP neural network model based on logistics distribution center location is established to perfect the mechanism of cross-border e-commerce export logistics. Finally, the particle swarm optimization and the ant colony algorithm and the ELECTRE-II algorithm are proposed, with the effectiveness of this algorithm verified. The results prove the effectiveness of the proposed algorithm. Show more

Keywords: Algorithm, value chain, export logistics mode, construction mechanism

DOI: 10.3233/JIFS-179142

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Liang, Zhenyu | Liang, Li | Cai, Yuze | Bertoni, Alessandro

Article Type: Research Article

Abstract:  The BP neural network algorithm is used to construct a stable slope angle prediction model for open-pit mines, which can successfully predict the ultimate slope angle of the mine. At the same time, a multi-tool combination of Surpac, Madis, and Flac3D is used to create a numerical model for stable slope angle in mines. The model is used to test the final slope angle prediction structure for stable mines. Through a comprehensive analysis of the ore deposit model technology constructed by the series of realms, the economic parameters involved in the generation of realm boundaries are known, and specific primaries …are pointed out with the error requirements of each parameter analyzed in the realm of series. A concrete solution is put forward to the issue of realm gap. From the point of view of the power and responsibility parameters, the series of realm production methods are analyzed, and the rapid generation methods of the realm of open-pit mine series are pointed out. Show more

Keywords: BP neural network, open-pit mine, stable slope angle

DOI: 10.3233/JIFS-179139

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Huang, Jinye | Wong, George N.

Article Type: Research Article

Abstract:  With the rapid development of the internet of things, the teaching methods of art design history are increasingly enriched, and have certain positive effects and significance on commercial design. Based on the development of the Internet of things, it is necessary to research the role and significance of art design history teaching for commercial design. Focusing on the data acquisition and management of dynamic art in the teaching of art design history, a non-contact data acquisition method of motion capture is put forward by using unmarked motion capture technology. The function and significance of art history teaching for commercial design …are analyzed. Experiments show that by adopting the dynamic art development technology of the internet of things, the teaching of art design history plays an important role in promoting the development of commercial design. Show more

Keywords: Internet of things, art design history teaching, commercial design, function, significance

DOI: 10.3233/JIFS-179144

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Wang, Wei | Mandal, Durbadal

Article Type: Research Article

Abstract:  The Internet of things is known as the third wave of the world information industry after computer and Internet. With its connectivity and intelligence, the Internet of Things has unique advantages in breaking the time and space constraints, expanding learning resources and improving the depth of exploration. Its integration with the teaching practice curriculum of drama, film and television literature specialty is conducive to the improvement of the above problems. Based on this, through the intelligent optimization algorithm and the theoretical framework of experiential learning, this paper constructs a teaching model of drama, film and Television Literature Specialty Based on …experiential learning theory under the Internet of Things environment, thus creating a professional teaching practice platform, and makes a thorough study on the optimization algorithm of drama, film and television literature specialty. Now the teaching and learning optimization algorithm based on the Internet of Things can be well used in the teaching practice platform of drama, film and television literature specialty. Show more

Keywords: IOT, drama, film and literature major, teaching practice

DOI: 10.3233/JIFS-179145

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Akram, Muhammad | Adeel, Arooj | Alcantud, José Carlos R.

Article Type: Research Article

Abstract: Hesitant fuzzy set theory is a renowned approach to the formal modeling of uncertain data. An evidence of its success is that it has been extensively used in multi-attribute decision-making problems. Hesitant fuzzy computations make the decision-makers’ assessments more flexible and rich, thus improving reliability of the decisions that depend on them. In this research article we introduce a novel hybrid model called hesitant fuzzy N -soft sets, which further enhances the virtues of hesitant fuzzy set theory with the benefits of N -soft sets. This theoretical model is capable of incorporating information about the occurrence of ratings or grades …in a hesitant environment. We investigate some useful properties of hesitant fuzzy N -soft sets and construct fundamental operations on them. By doing so we lay the groundwork for subsequent analyses and applications. We then develop novel approaches to decision-making including TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution), choice value and L-choice value based on hesitant fuzzy N -soft sets. Finally, we describe potential applications of our model and present the proposed methods as algorithms. Show more

Keywords: N-soft sets, hesitant fuzzy sets, hesitant fuzzy N-soft set, TOPSIS, decision-making

DOI: 10.3233/JIFS-181972

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Liu, Yi | Liu, Jun | Qin, Ya

Article Type: Research Article

Abstract:  The present work is focused on dynamic intuitionistic fuzzy multi-attribute decision making (DIF-MADM) problem, while "dynamic" means the decision-related information may be collected at different periods, a situation commonly happened in many of real world MADM problems. After the review and analysis of some drawbacks on the existing DIF-MADM methods, on the one hand, we propose a new DIF-MADM method based on the evidential reasoning (ER) algorithm in order to address some of those limits; on the other hand, and a new dynamic intuitionistic fuzzy weighted geometric (DIFWG) operator is introduced, named modified dynamic intuitionistic fuzzy weighted geometric (MDIFWG) operator, …then a MDIFWG-based DIF-MADM method is also proposed to address some other limits of the existing methods. Some numerical examples are provided to illustrate the practicality and feasibility of the proposed two methods through, the comparative analysis with the existing DIF-MADM methods, along with some sensitivity analyses also carried out to analyse the distinct features of the proposed methods. Show more

Keywords: DIF-MADM, MDIFWG operator, Evidential reasoning algorithm

DOI: 10.3233/JIFS-181777

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Mahapatra, G.S. | Adak, Sudip | Kaladhar, K.

Article Type: Research Article

Abstract:  This paper develops a fuzzy inventory model having price, stock, reliability and advertisement dependent demand with fuzzy holding cost varying on time and reliability. We also develop the inventory model for deteriorating items with three parameter weibull distribution pattern. Inflation has the reverse effect on the time value of money, so we consider the effect of inflation when there is shortage in the stock. The model also allows condition of permissible delay in payment. The credit period is less than or equal and greater than to the cycle time for settling the account which are the two cases for payment. …The optimum solution of the inventory model are evaluated under crisp and fuzzy environments. We have used symmetric triangular fuzzy parameters for the proposed inventory model, and to defuzzify for the solution we use total λ -integral value. The model is illustrated with the help of numerical examples, and further sensitivity analysis of the decision variables has been done to examine the effect of changes in the values of the parameters on the optimal inventory policy under fuzziness. Show more

Keywords: Shortage, deterioration, permissible delay in payment, reliability, advertisement, triangular fuzzy number

DOI: 10.3233/JIFS-181595

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Zhang, Xia | Sun, Hao | Xu, Genjiu | Hou, Dongshuang

Article Type: Research Article

Abstract:  Depended on the expected values of fuzzy numbers, a total order relation of fuzzy numbers is proposed. We show that three concepts of the indifference fuzzy core, nucleolus and bargaining sets of cooperative games with fuzzy payoffs are well-defined following from this total order relation, whereas it is impossible to define by any partial order relation of fuzzy numbers for these concepts. Moreover, we raise a necessary and sufficient condition for non-emptiness of the indifference fuzzy core. It is further shown that there is at least one fuzzy payoff vector in the indifference fuzzy nucleolus. For convex or superadditive cooperative …games with fuzzy payoffs, the indifference fuzzy bargaining sets coincide with the indifference fuzzy core. Show more

Keywords: Cooperative games, fuzzy payoffs, core, nucleolus, bargaining sets

DOI: 10.3233/JIFS-181982

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Sun, Lin | Wang, Wei | Xu, Jiucheng | Zhang, Shiguang

Article Type: Research Article

Abstract: Gene selection as an important data preprocessing technique for cancer classification is one of the most challenging issues in the field of microarray data analysis. In this paper, to deal with gene expression data more effectively, a locally linear embedding (LLE) and neighborhood rough sets-based gene selection method using Lebesgue measure for cancer classification is proposed. First, to solve the problems that the traditional LLE method cannot effectively identify category information, and is susceptible to noise pollution and other issues, the intra-class neighborhood is defined and a new method of calculating reconstruction weight is proposed by combining with the Euclidean …distance to improve LLE. Then, the Lebesgue measure is introduced into neighborhood rough sets, a δ -neighborhood measure is defined, and the dependency degree and the significance measure are presented in neighborhood decision systems. Finally, an improved LLE and neighborhood rough sets-based gene selection algorithm is designed, where the improved LLE algorithm is used to reduce the initial dimensions of gene expression data and obtain a candidate gene subset, and the Lebesgue measure and dependency degree-based relative reduction for gene expression data is developed to further screen the candidate subset to select the final gene subset. The experimental results under several public gene expression data sets prove that the proposed method is effective for selecting the most relevant genes with high classification accuracy. Show more

Keywords: Rough sets, neighborhood rough sets, gene selection, locally linear embedding, cancer classification

DOI: 10.3233/JIFS-181904

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Peng, Xindong | Li, Wenquan

Article Type: Research Article

Abstract: Realistically, it isn’t invariably the case that decision makers (DMs) or experts are capable of evaluating alternatives by means of exact values. With the uncertain information achieved, the DMs tend to offer their evaluations by giving various values in corresponding parameters. Hesitant fuzzy soft sets (HFSSs) permit each element to possess diverse number of parameter values of those parameters are denoted by multiple conceivable membership values. This paper develops three novel decision making methods in hesitant fuzzy soft text. First, the revised hesitant fuzzy aggregation operators are proposed for avoiding the counterintuitive phenomena. Later, the objective weights of diverse parameters …are counted by deviation-based method. Then, we introduce the combination weights, which can reveal both the subjective decision information and the objective decision information. Afterwards, we present three methods for dealing hesitant fuzzy soft decision making issue via revised aggregation operators, WDBA (Weighted Distance Based Approximation) and CODAS (COmbinative Distance-based ASsessment). Finally, the feasibility and effectiveness of algorithms are stated by some numerical examples. The notable traits of the developed algorithms, compared to the existing hesitant fuzzy soft decision making algorithms, are (1) they can achieve the best alternative out of counterintuitive phenomena; (2) they have a stronger ability in differentiating the best alternative; (3) they can forbear the parameter selection issues. Show more

Keywords: Hesitant fuzzy soft set, decision-making approach, revised aggregation operators, WDBA, CODAS

DOI: 10.3233/JIFS-182594

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-17, 2019

Authors: Feng, Hui | Yin, Xinghui | Xu, Lizhong | Lv, Guofang | Li, Qi | Wang, Lulu

Article Type: Research Article

Abstract:  In this paper, we propose an underwater object detection method, which uses improved spectral residual (SR) saliency detection and fuzzy segmentation. We adopt a two-phase mechanism, which divides visual object detection into detecting saliency map and image segmentation to obtain “proto object”. We compare the logarithmic spectrum differences between optical images in the atmosphere and in the water. Combining with the absorption characteristics of the propagation of light in water, we use the logarithmic spectrum of underwater images and logarithmic spectrums in R, G and B channels to generate new logarithmic spectrum, so as to highlight more object information and …obtain better saliency map. Then, using Fuzzy c-Means (FCM) clustering method to segment saliency map, we gather better similar information of the object and highlight the entire body of the objects. We tested the effectiveness of our method in underwater object detection in different underwater optical environments. The results show that our method can eliminate most of the background noise and improve the accuracy of underwater visual object detection. Show more

Keywords: Underwater object detection, saliency detection, spectral residual, Fuzzy c-Means, logarithmic spectrum

DOI: 10.3233/JIFS-179089

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Han, Kaiyan | Liu, Xiaoping | Ping, Shao-kang | Wang, Ping

Article Type: Research Article

Abstract:  The research is carried out the kinematics analysis of combined technical actions in hip-hop movements by the methods of three-dimensional analysis of motion biomechanics. Based on three aspects of the movement track, motion characteristics and core technical action analysis, the results show that: the facet joint play the role of driving action; The movement can be changed by changing the direction of the force when connected; And the body should be reduced the buffer in the way the fingertips or toes touching the ground first when doing actions.

Keywords: Hip-hop movement, bio-mechanics, three-dimensional analysis, fuzzy system

DOI: 10.3233/JIFS-179105

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Wang, Rongrong | Han, Shengwei

Article Type: Research Article

Abstract: Fuzzy posets can be regarded as a generalization of classical posets. Many concepts and results in posets can be generalized to fuzzy posets. In order to further improve the fuzzy poset theory, in this paper, we shall introduce the concept of prime (distributive) fuzzy posets which can be seen as the correspondence of prime (distributive) posets in fuzzy setting. First, we consider the extensions of fuzzy ideals in a fuzzy poset. Then by the extensions of fuzzy ideals, we give a characterization for prime (distributive) fuzzy posets, that is, a fuzzy poset X is prime (distributive) if and only if …all extensions of normal fuzzy ideals of X are Frink (strong) fuzzy ideals. This paper generalizes the work of Halas in posets into fuzzy posets. Show more

Keywords: Fuzzy poset, extension of fuzzy ideal, prime fuzzy poset, distributive fuzzy poset

DOI: 10.3233/JIFS-181352

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Olalekan Adaraniwon, Amos | Bin Omar, Mohd

Article Type: Research Article

Abstract: This article considers an EOQ model for a delayed deteriorating item in which the demand varies with time and follows a power pattern. Shortages are allowed with partially backlogged and lost sales. We develop a mathematical model for the problem.The proposed model aims at minimizing the total inventory cost which depends on the length of time with positive and negative inventory level. Numerical examples with the effect of various changes in some possible parameters combination of the model are given to illustrate the effectiveness of the model and to gain some managerial decision.

Keywords: Deterioration, delayed, power demand, lost sales, shortages

DOI: 10.3233/JIFS-181284

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Sik Kim, Hee | Neggers, Joseph | Shin Ahn, Sun

Article Type: Research Article

Abstract: In this paper, we introduce the notions of an almost φ -fuzzy subalgebra and an almost φ -fuzzy semi-ideal in groupoids by using the concept of a function. This concepts are generalizations of a fuzzy subalgebra and a fuzzy ideal in groupoids respectively. We discuss some relations between almost φ -fuzzy subalgebras and vanishing, level subsets. By introducing the notions of (μ , φ )-extremes, e -ideals, we obtain several properties of almost φ -fuzzy subalgebras. The relations between almost φ -fuzzy semi-ideals and (μ , φ )-special elements are discussed. Finally we discuss fuzzy algebraic structures of almost …φ -fuzzy semi-ideals by diagrams. Show more

Keywords: almost φ-fuzzy subalgebra (semi-ideal), BCK/BCI-algebra, (weakly) vanishing, (pre-) level subset, (weak) fuzzy subalgebra property, (μ, φ)-(extreme, special), e-ideal, Bin (X)

DOI: 10.3233/JIFS-181220

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Jing, Yun | Guo, Siye | Zhang, Zhenhua | Jeng, Embrima

Article Type: Research Article

Abstract:  The propose of this paper is building the flow shop model with full-loaded constraints and maximum wagons within the stage. Based on sequence theory, technical operations of marshalling station are described as process of flow shop. By definition of key trains, the adjustment of the classification schedule of inbound trains is attributed to the adjustment of key trains for reducing invalid solution. Based on the LS rules to construct an initial solution, tabu search algorithm (TS) dynamically adjusts taboo step, and build a network model of static wagon-flow allocation for the objective function, to ensure the feasibility of solutions. Finally, …the example demonstrates the effectiveness of the algorithm, and differences between full-loaded and full-cars constrains. Show more

Keywords: Marshaling station, wagon-flow allocating, sequence theory, taboo search, full-loaded

DOI: 10.3233/JIFS-179106

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Farooq, Muhammad | Mahmood, Tariq | Khan, Asghar | Izhar, Muhammad | Davvaz, Bijan

Article Type: Research Article

Abstract: Fuzzy set theory and Rough set theory are two useful mathematical tools for dealing with uncertainty and provides a general mathematical framework for dealing with uncertainty. In this paper, we introduce the notions of hyperideals of hyperquantales. The notions of (upper, lower) rough hyperideals of hyperquantales are given. Furthermore the notions of fuzzy hyperideals of hyperquantales are introduce and investigate their properties. Then, we introduce the concept of prime fuzzy hyperideals and establish relationships between these hyperideals and prime fuzzy hyperideals of hyperquantales. Finally we define rough upper (lower) fuzzy hyperideals of hyperquantales and investigate several related properties.

Keywords: Rough set, fuzzy set, hyperquantale, fuzzy hyperideal, rough fuzzy hyperideal.

DOI: 10.3233/JIFS-181460

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Aşıcı, Emel | Mesiar, Radko

Article Type: Research Article

Abstract: Nullnorms are aggregation functions on the unit interval [0, 1] related to ordinal sums of t-conorms defined on [0, a ] and t-norms defined on [a , 1], where a is the annihilator of the considered aggregation function. In this paper some basic algebraic properties like idempotent and nilpotent elements of nullnorms on the unit interval are introduced and discussed. Then, the direct product of nullnorms on bounded lattices is defined and properties of introduced nullnorms are deeply investigated. Thus by defining such algebraic properties and direct product of nullnorms, triangular norms and triangular conorms are extended to a …more general form. Finally, we study some properties concerning orders induced by nullnorms acting on lattices. Show more

Keywords: Nullnorm, bounded lattice, direct product

DOI: 10.3233/JIFS-181602

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Liu, Xin | Zhou, Yanju | Wang, Zongrun

Article Type: Research Article

Abstract: For the acquisition of user behavior preference in social network, usually a data mining will be conducted on the nearest neighborhood users or latestprojects based on the user’s historical behavior data, so as to find similar behaviorrelationship for quantitative analysis; it can also focus on the awareness on the user-related context information based on cognitive psychology, so as to find its internal links forthe potential mining. However, these methods ignore the intrinsic link between the browsing behavior and the preferred topics in the user link connection, resulting in the limited precision and accuracy of the preference acquisition. Inspired by the …theory of complex network link prediction and the topic model, anacquisition method for users’ browsing behavior preference was proposed in this paper. In the multi-dimensional network link environment, by measuring the importance of the node via network centrality and search the social network link via setting the similarity threshold, the real-time multi-link information and the big data about users’ browsing under each link were acquired, then the data were filteredand cleaned by using adjustable parameters. On this basis, according to the least squares criterion the data underwent a fusion and were used to construct a data node distribution model for user browsing behavior, then the frequent feature items of user browsing behavior preference were extracted. Based on the extracted feature terms, the variational Bayes approximation reasoning method was used to construct the preference topic model. Finally, the hierarchical VSM model representation method was used to establish the preference acquisition model of user browsing behavior, and the model was updated in real time by user feedback processing mechanism. The experimental results on the real data set showed that the link search method and the preference topic model provided by this paper are accurate and efficient. Compared with the classical cooperative filtering method and the context-awareness method, the precision, accuracy and effectiveness of the preference acquisition model provided this paper are significantly improved, and its adaptability has been significantly strengthened. Show more

Keywords: Social network link, topic model, user browsing behavior, preference acquisition

DOI: 10.3233/JIFS-179103

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2019

Authors: Zhong, Yu | Shi, Fu-Gui | Zou, Jie-Tao | Zou, Chu-Yi

Article Type: Research Article

Abstract: In this paper, we introduce the degree to which a mapping C : L X ⟶ M is an (L , M )-fuzzy convexity. When ( X , C X ) and ( Y , C Y ) are (L , M )-fuzzy convex spaces to some extent, the degrees to which a mapping f : X ⟶ Y is convexity-preserving or convex-to-convex are defined. Finally, the degree to which a surjective mapping f : X ⟶ …Y is a quotient mapping is also defined. We not only give their characterizations but also discuss the relationships among them. Show more

Keywords: Convex structure, convexity-preserving mapping, convex-to-convex mapping, (L, M)-fuzzy convex space, (L, M)-fuzzy convexity degree

DOI: 10.3233/JIFS-18659

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Li, Gang | Li, Zhenbo

Article Type: Research Article

Abstract: Uninorms are an important generalization of triangular norms and triangular conorms, having a neutral element lying anywhere in the unit interval. Many different classes of uninorms have been discussed in literature. In this paper, a construction method for a class of left-continuous uninorms is proposed based on the representable uninorm. The idea stems from the rotation method. Some illustrative examples of such uninorms are provided.

Keywords: Uninorm, representable uninorm, additive generator, left continuity

DOI: 10.3233/JIFS-18758

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Wang, Guixiang | Wang, Xiaolian | Qin, Sen | Zhang, Guojing

Article Type: Research Article

Abstract: In this paper, the problem of ranking multi-dimensional uncertain information based on fuzzy order is studied. At first, a specific fuzzy order on the fuzzy ellipsoid number space is defined, with which we can set up a dynamic ranking method which changes with the change of the level r for some objects which can be characterized by some multichannel uncertain digital information. Then its properties are investigated, some related results are obtained. And then, we give a practical example to show how to set up a dynamic ranking method which changes with the change of the level r …for some objects which can be characterized by some multichannel uncertain digital information by using the fuzzy order proposed by us in the paper. Show more

Keywords: Fuzzy number, fuzzy ellipsoid numbers, order, fuzzy order, ranking multi-dimensional uncertain information

DOI: 10.3233/JIFS-18357

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Gao, Ninghua | Li, Qingguo | Huang, Xiaokun | Jiang, Haojie

Article Type: Research Article

Abstract: The main goal of this paper is to introduce and study several classes of fuzzy ordered semirings, and then to investigate some interesting properties of them in terms of special fuzzy ideals. In this respect, we characterize left (resp., right) weakly regular fuzzy ordered semirings, weakly regular fuzzy ordered semirings and semisimple fuzzy ordered semirings via different kinds of fuzzy ideals, respectively. Moreover, the pseudo-fuzzy order on semirings is defined, based on it, a homomorphism theorem of fuzzy ordered semirings is obtained.

Keywords: Fuzzy ideals, fuzzy ordered semirings, homomorphism, weakly regular, pseudo-fuzzy order, semisimple

DOI: 10.3233/JIFS-18278

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Ji, Linzhang | Cheng, Daolai | Yi, Chuijie | Zick, Sandra

Article Type: Research Article

Abstract: At present, the CAAC has established the only “Aircraft Cabin Sound Information Sample Library” in China, which provides strong support for the theoretical analysis method based on the CVR non-discourse sound blind source separation. The separation of aircraft background acoustic blindness based on EEMD-ICA is studied. The performance of different algorithms for the separation of CVR non-discourse background acoustic typical observation signals is compared, and an incompletely constrained adaptive natural gradient algorithm is found for signals that change drastically over time and have a near-zero amplitude over a more extended period. In addition, when there is redundant information or noise …on the CVR background acoustic signal, an independent component analysis method is used to reduce the dimensionality of the observed signal, which is essential for extracting valuable information from confounded signals and provides a reference for dealing with changing mixed signals. Show more

Keywords: EEMD-ICA, aircraft, Background acoustic blind separation

DOI: 10.3233/JIFS-179104

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Kirişci, Murat

Article Type: Research Article

Abstract: In this paper, we study the concept of Fibonacci statistical convergence on intuitionisitic fuzzy normed space. We define the Fibonacci statistically Cauchy sequences with respect to an intuitionisitic fuzzy normed space and introduce the Fibonacci statistical completenes with respect to an intuitionisitic fuzzy normed space.

Keywords: intuitionistic fuzzy normed space, Fibonacci numbers, statistical convergenc, Fibonacci statistical Cauchy, statistical completeness

DOI: 10.3233/JIFS-181455

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Prasertpong, Rukchart | Siripitukdet, Manoj

Article Type: Research Article

Abstract: The Mareay’s rough set has been regarded as an approximation processing model in an approximation space induced by an arbitrary binary relation on the single universe. This is an effective mathematical tool for dealing with uncertain knowledge and vagueness in data for the single universe. Based on this induced notion, we firstly establish and verify two new classes, called a successor class and a core of a successor class induced by an arbitrary binary relation between two universes. Then we propose a generalization of the Mareay’s rough set in an approximation space based on cores of successor classes induced by …an arbitrary binary relation between two universes, with a corresponding example. Some interesting algebraic properties of the new approximation processing model are investigated. We develop the use of the novel rough set in a semigroup under a preorder and compatible relation. We establish the notions of rough semigroups, rough ideals and rough completely prime ideals. Then we provide sufficient conditions of rough semigroups, rough ideals and rough completely prime ideals. Under homomorphism problems in semigroups, the relationship between the rough semigroup (resp. rough ideal and rough completely prime ideal) and the homomorphic image of the rough semigroup (resp. rough ideal and rough completely prime ideal) is demonstrated. Show more

Keywords: Rough sets, approximation spaces, semigroups, rough semigroups, rough ideals, rough completely prime ideals, binary relations, preorder relations, compatible relations.

DOI: 10.3233/JIFS-181435

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Rehman, Noor | Ali, Abbas | Inayat Ali Shah, Syed | Irfan Ali, Muhammad | Park, Choonkil

Article Type: Research Article

Abstract: The extension of rough set model is a crucial and vast research direction in rough set theory. Meanwhile decision making can be considered as a mental process in which human beings make a choice among several alternatives. However, with the increasing complexity of real decision making problems, the decision makers frequently face the challenge of characterizing their preferences in an uncertain context. In the present paper, we initiate a multi attribute group decision making problem in the presence of multi attribute and multi decision in decision making with preferences. We further present the concept of soft preference relation and soft …dominance relation corresponding to decision attribute in the multi criteria and multi decision information system. Further we present the idea of variable precision multi decision soft dominance based rough set model and their applications in solving a multi agent conflict analysis decision problem. The proposed method addresses the limitations of the Pawlak’s model and Sun’s conflict analysis model and thus improve these models. Finally, the results on labor management negotiation problems show that the proposed algorithms are more effective and efficient for feasible consensus strategy when compared with other techniques. Show more

Keywords: Rough set, soft set, preference relation, inclusion degree, soft preference relation

DOI: 10.3233/JIFS-191197

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2019

Authors: Ali, Abbas | Rehman, Noor | Irfan Ali, Muhammad | Hila, Kostaq

Article Type: Research Article

Abstract:  The present paper aims to initiate the study of multi attribute group decision making in the presence of incomplete multi attribute and incomplete multi decision while making a decision with preferences in an incomplete information system. The concept of soft preference relation and soft dominance relation corresponding to decision attribute in incomplete multi criteria and incomplete multi decision information system is also presented. The discernibility matrix and discernibility function approach is proposed for decision attribute reduction to find all the reducts in an incomplete information system. A new technique of ranking the feasible alternative is proposed. Using the idea of …soft dominance based rough sets, several uncertainty measures, such as approximate precision, rough degree, approximate quality and their mutual relationships are discussed in an incomplete information system. Finally the validity of these concepts are proved by applying these in solving multi-agent conflict analysis problems. Show more

Keywords: Rough set, soft set, preference relation, incomplete information

DOI: 10.3233/JIFS-181502

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Chen, Yunfei | Du, Taihang | Sun, Shuguang | Jiang, Chundong

Article Type: Research Article

Abstract: In view of the high price of receivers in indoor radio interference sources, a double fingerprint database acquisition and location system based on wireless sensor networks is designed according to the design aim of low input and high efficiency. To meet the demand of the number of at least AP positioning in the positioning area, the main library collection in the overall positioning of fingerprint point and signal intensity, using the improved fuzzy C clustering (Fuzzy C Means, FCM) algorithm and support vector machine (Sport Vector Machine, SVM) location of interference source location and area, area after the parade AP …moving to the main fingerprint lock, before relying on offline collected local fingerprint information database, according to the Euclidean distance model of the objective function, the positioning process into local optimization and application of genetic algorithm (Genetic Algorithms GA) and Particle Swarm (Particle Swarm Optimization, PSO GA-PSO) algorithm to calculate model the optimal solution, converting the location coordinates of the interference source. The experimental results show that the confidence level of the non-sight distance positioning accuracy of 1.3m obtained at least AP is 76.3%, and the method used in the study is of high practical value. Show more

Keywords: Indoor positioning, clustering method, simulated annealing simplex fusion algorithm, GA-PSO fusion algorithm, cruise AP signal receiver

DOI: 10.3233/JIFS-179088

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Li, Xin | Robin, H.

Article Type: Research Article

Abstract:  In this subject, the model recognition method was adopted, namely, the multi-note model based on the hidden Markov process was established by using the multi-note as the basic modeling unit. And the related modules in HTK were recompiled to build a multi-note recognition model, thus the features of a multi-note audio file were extracted; An optimization and updating scheme was proposed from the algorithm flow and evaluation model. By effectively evaluating the data state of the piano note model, an effective recognition model was established, and the corresponding recognition results were given. Then based on the analysis of the principle …of commonly used audio file parameterization and combined with the characteristics of multi-note audio, the existing feature extraction modules in HTK were optimized; finally, the real time robust recognition of single notes, the HMM modeling of multi-note and the recognition of multi-note HMM model were successfully realized. Show more

Keywords: Multi-note, endpoint detection, diverse dictionaries, HMM modeling

DOI: 10.3233/JIFS-179131

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Zhang, Yi | Sun, Hexu | Guo, Yingjun

Article Type: Research Article

Abstract: Solar energy is a kind of pollution-free and inexhaustible energy. Photovoltaic power generation is an effective way to use solar energy. The output characteristics of photovoltaic cell are easily affected by illumination intensity, temperature and other factors, so the maximum power point tracking of photovoltaic power generation can effectively improve the power of the system. Firstly, a photovoltaic cell model is established to analyze the non-linear electrical characteristics under different solar intensity and working temperature. Secondly, the MPPT control strategies based on perturbance observation method and conductance increment-fuzzy control method are respectively studied, and the system simulation model including photovoltaic …module, boost circuit, MPPT control module, PWM module and so on is built in MATLAB/Simulink. Finally, the operation effects of different MPPT control strategies are analyzed and compared by means of experiments in different scenarios. The conductance increment-fuzzy control method improves the power generation efficiency, reduces the system oscillation and enhances the working stability. Show more

Keywords: Photovoltaic cell, perturbance and observation, conductance increment, fuzzy control, maximum power point tracking, MATLAB/Simulink

DOI: 10.3233/JIFS-179117

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Xiaogangr, Tang | Sun’an, Wang | Mingxue, Liao | Litian, Liu | Shankar, K.

Article Type: Research Article

Abstract: Cognitive radio (CR) attempts to improve spectrum utility by exploiting whitespaces in the spectral and time domains. However, whitespaces in different time or spectral domains may provide different communication qualities. Distinguishing the best whitespaces among a large number of candidates is expensive in terms of energy and time and has yet to be fully studied in the literature. This paper presents a spectrum sensing framework based on channel usability patterns mined from actual experimental data to address this problem. In contrast to spectrum prediction techniques that simply regard a channel as idle or usable and that construct binary series over …time, we model channel quality considering not only SNR but also the duration for which communication can be achieved a continuous manner. With this method, both the spectrum utility and sensing accuracy are greatly improved while also significantly decreasing the time overheads. Show more

Keywords: Channel usability, pattern guided, spectrum prediction, sensing

DOI: 10.3233/JIFS-179084

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Hou, Jing | Meng, Jianfeng | Zhu, Lianmei

Article Type: Research Article

Abstract: Support vector machine need to choose kernel function according to data distribution characteristics, while iterative algorithm of function parameter optimization can effectively improve the validity of data analysis. Using a sample of A-share listed firms in China from 2007–2017, this paper discusses the impact of corporate innovation on stock price crash risk and the moderating effect of investors’ attention on the relationship between the two under the triple effect of enhancing confidence, interpreting information and releasing panic. The results show that: (1) the innovation output is negatively correlated with the stock price crash risk, and the inhibition of substantive innovation …is more significant than that of strategic innovation; Investors’ focus mainly has the effect of enhancing investor confidence, thus strengthening the negative correlation between the two. (2) R&D is positively correlated with the stock price crash risk. Investors’ focus helps to alleviate the information asymmetry and play the effect of information interpretation, thus weakening the positive correlation between the two; (3) the capitalization of development expenses in R&D has not really promoted the enterprise value but has become a means for insider to reduce their holdings and cash. The stock price crash risk is aggravated by the widespread sell-off caused by panic reaction of investors. The research in this paper has certain theoretical and practical significance to improve the substantial innovation of corporates, restrain insider trading behavior, protect the interests of investors and then maintain the stable development of capital market. Show more

Keywords: Fuzzy mathematics, stock price crash risk, corporate innovation, investor focus

DOI: 10.3233/JIFS-179107

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Zhang, Saiyu | Li, Jiangfeng | Jodylf, Moore

Article Type: Research Article

Abstract:  The rapid development of mobile Internet technology, networking, and cloud computing and other new wave of technology push micro marketing has entered a new stage of rapid development, especially since the rise of the media, to build a good atmosphere for the development of micro marketing. With the continuous development of network technology, smart mobile terminals are gradually becoming popular, and various application software (APP) is constantly innovating. Facebook, Twitter, micro blog, WeChat, m chat and other emerging from the media are increasingly connected with social life, and the value of marketing tools to highlight, no doubt, provides technical support …and development a good platform for the micro enterprise marketing. Firstly, through the review of the existing domestic and foreign micro marketing theory research, the evolution of micro marketing concept is summarized, so as to clarify the connotation of marketing and development of micro foundation, combined with the background, to reveal the development trend of micro marketing and discuss the scope of the theory. Secondly, described as a new business platform micro marketing concept, since the media form and features and the media platform of enterprise, the media is discussed for micro instrumental value marketing development. To carry out micro marketing analysis of the status quo, the media micro enterprise marketing is revealed based on the advantages and disadvantages. Then, in order to help maintain and optimize the self-media platform micro enterprise marketing advantages and overcome its disadvantages, the strategy of self-media micro enterprise marketing is put forward based on the development. Finally, combined with the millet mobile phone business case the analysis, based on the practice of micro enterprise marketing theory, also with rationality and effectiveness of the strategy proposed by this study demonstrates the advantages. Show more

Keywords: Micro marketing, evolution, self-media, development strategy

DOI: 10.3233/JIFS-179126

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Zhang, Changqi | Guan, Yepeng

Article Type: Research Article

Abstract:  In order to promote the development of visual target tracking technology, this paper uses discrete differential algorithm in computer to assist analysis. First, the development status of target tracking technology is expounded, constructing the target tracking model by using different image sequences. In order to enhance the efficiency of target tracking, discrete differential algorithm is added. The algorithm can reduce the complexity of the computation and adopt the traditional optical flow evaluation method and level set frame tracking method to perfect. An optimization and update scheme is proposed from the algorithm flow and evaluation model, and an effective evaluation model …is established by effectively evaluating the state of the visual tracking target model. In the test of target tracking model, through the comparison of different targets and the efficiency of data calculation, it is proved that the model can be layered for the target, and the addition of discrete differential algorithm effectively solves the problem of scale self-adaptation, which deserves further popularization. Show more

Keywords: Target tracking, differential algorithm, computer vision

DOI: 10.3233/JIFS-179128

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Ding, Bangxu | Chen, Wen | Huang, Yongqing

Article Type: Research Article

Abstract:  At present, cloud computing technology has developed rapidly, which has gradually integrated into the IoT (Internet of things) data mining technology and formed a new model. Based on this, the construction of IoT data mining mode is studied based on cloud computing technology. As an example, a new data mining model is designed. An optimization and update scheme is proposed from the algorithm flow and evaluation model. By effectively evaluating the state of the data mining model, an effective evaluation model is established, and the corresponding evaluation results are given. The structure of the IoT cloud platform is first designed, …and then the database module of the information sharing platform is designed, the web interface of the IoT cloud platform is standardized, and finally the mode is tested. The application of the platform is tested to test the accuracy of the data so that it can accurately obtain information. Show more

Keywords: cloud computing, IoT, data mining

DOI: 10.3233/JIFS-179129

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Shao, Zehui | Li, Zepeng | Wu, Pu | Chen, Lanxiang | Zhang, Xiaosong

Article Type: Research Article

Abstract: Superior to single-factor authentication, multi-factor authentication (MFA) provides enhanced security by requiring at least two factors to authenticate an entity. It has been studied extensively in recent years and has been applied to various fields. However, there is no adaptive and quantified method to evaluate the dynamic threats coming from different attacks. In this paper, we introduce fuzzy dominating set to model the multiple factors of privacy-preserving identities, and propose an adaptive MFA combinatorial model to achieve adaptive choosing one or multiple privacy-preserving identities to authenticate the user. Moreover, we propose an integer linear programming for solving the Fuzzy Domination …Model, and propose a greedy algorithm for Fuzzy Domination (GFD) and a primal dual greedy algorithm for Fuzzy Domination (PDFD) based on this integer linear programming. This work will reduce the gap between dynamic MFA and its practice applications. Finally, the effectiveness and efficiency of both algorithms in MFA are analyzed and experimental results demonstrate that PDFD is comparatively efficient and effective for solving instances with moderate orders. Show more

Keywords: fuzzy dominating set, information security, multi-factor authentication, fuzzy graph theory

DOI: 10.3233/JIFS-181859

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2019

Authors: Gu, Yujie | Hao, Qingwei | Shen, Jie | Zhang, Xiang | Yu, Liying

Article Type: Research Article

Abstract: Variance in fuzzy set theory, generally applied in investment decision, risk evaluation, and so on, can be described as a measurement that gauges the deviation of a fuzzy number. In this paper, in order to extend the application range and enrich the research area of variance, the concepts of variance bounds and semi-variances are defined and discussed from a theoretical point of view. With respect to some frequently-used fuzzy intervals, four relatively simple calculation formulas for upper and lower bounds of variance, and upside and downside semi-variances are put forward respectively, with the aid of which several correlation inequalities are …subsequently presented and proved. Besides, in order to depict the concepts and inequalities more distinctly, plenty of examples are introduced to make some numerical illustration. Show more

Keywords: Fuzzy interval, bounds of variance, semi-variance, inequalities

DOI: 10.3233/JIFS-181408

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-17, 2019

Authors: Kumar, Sushil | Kumar Tripathi, Bipin

Article Type: Research Article

Abstract: There are various high-dimensional engineering and scientific applications in communication, control, robotics, computer vision, biometrics, etc.; where researchers are facing predicament to fabricate an intelligent and robust neural system which can process higher dimensional information efficiently. In various literatures, the conventional neural networks based only on real valued, are tried to solve the problem associated with high-dimensional parameters, but these neural network structures possess high complexity and are very time consuming and weak to noise. These networks are also not able to learn magnitude and phase values simultaneously in space. The quaternion is the number, which possesses the magnitude in …all four directions and phase information is embedded within it. This paper presents a learning machine with a quaternionic domain neural network that can finely process magnitude and phase information of high dimension data without any hassle. The learning and generalization capability of the proposed learning machine is performed through chaotic time series predictions (Lorenz system and Chua’s circuit), 3D linear transformations, and 3D face recognition as benchmark problems, which demonstrate the significance of the work. Show more

Keywords: Quaternion, quaternionic domain neural network, 3D motion, 3D imaging, chaotic time series prediction

DOI: 10.3233/JIFS-17461

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Liu, Rong | Liang, Jin | Alkhambashi, Majid

Article Type: Research Article

Abstract:  The UAV system has evolved in the direction of intelligence and autonomy. Mission planning is an important part of autonomous drone control. The issue of route planning and task assignment in drone mission planning is studied. For the drone path planning problem in three-dimensional static threat environment, two improved ant colony algorithms are proposed, and these prior knowledges are constructed as multiple heuristic information of ants, guiding the ant’s path search, and verifying the global convergence of the algorithm. The fuzzy inference system is used to dynamically adjust the parameters of the RRT algorithm according to the real-time information of …the task environment and the growth status of the RRT random tree. The experimental results show that the two improved algorithms can obtain better planning results than the single artificial potential field method and ant colony algorithm, effectively shorten the route planning time, improve the planning accuracy, and obtain the optimal flight path. Show more

Keywords: cloud computing, reinforcement learning algorithms, UAVs, mission planning

DOI: 10.3233/JIFS-179130

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Wu, Huanrong | Zhou, Xiangnan | Li, Qingguo | Zhang, Huarong

Article Type: Research Article

Abstract: In this paper, we redefine the concept of prime L -fuzzy ideals of an ordered semigroup so that the prime L -fuzzy ideals are not necessarily 2-valued. Then a topological space, called the spectrum of prime L -fuzzy ideals of an ordered semigroup, has been obtained and some topological properties like separation axioms, compactness, connectedness are researched. Further, a contravariant functor from the category of commutative ordered semigroups into the category of compact and connected topological spaces is gotten. Finally, we focus on the subspace which is defined in the set of all minimal prime ideals in an ordered semigroup …S and show that if S is commutative, then this subspace is Hausdorff, totally disconnected and completely regular. Show more

Keywords: Ordered semigroup, L-fuzzy ideal, Spectrum, Minimal prime L-fuzzy ideal, Contravariant functor

DOI: 10.3233/JIFS-172286

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Xiu, Zhen-Yu | Li, Qing-Guo

Article Type: Research Article

Abstract:  In this paper, the notions of (L , M )-fuzzy concave spaces, (L , M )-fuzzy interior spaces, (L , M )-fuzzy interior relations and (L , M )-fuzzy hull relations are introduced. It is proved that the category of (L , M )-fuzzy concave spaces, the category of (L , M )-fuzzy interior spaces, the category of (L , M )-fuzzy interior relation spaces and the category of (L , M )-fuzzy hull relation spaces are isomorphic. Moreover, it is proved that these categories are all isomorphic to the category of (L , M )-fuzzy convex spaces when L …is a completely distributive lattice with an order-reversing involution. Show more

Keywords: (L, M)-fuzzy concave spaces, (L, M)-fuzzy interior operators, (L, M)-fuzzy interior relations, (L, M)-fuzzy hull relations

DOI: 10.3233/JIFS-181663

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Jingjing, Zhang | Jiaxin, Wang | Ta, Liu | Dongping, Han | Arvind Shriram, R.K.

Article Type: Research Article

Abstract: As the theme of sustainable development in the 21st century, environmental management creates value through the combination of ecological and economic elements and forms the enterprise Eco-efficiency. Enterprise Eco-efficiency can not only measure the performance of the company’s environmental management, but also guide the implementation of enterprise environmental management strategy and the realization of business objectives. There is a mutual causal relationship between environmental management and enterprise Eco-efficiency. Based on the analysis of the forming mechanism of enterprise Eco-efficiency within the environmental management system, it is found that whether the place influencing factors or vicissitude influencing factors, their impacts on …the enterprise Eco-efficiency measurement value may be uncertain and ambiguous. In this paper, the similarity model of intuitionistic fuzzy set is established to conduct the intuitionistic fuzzy identification of the enterprise Eco-efficiency influencing factors, and a large-scale oil refining and chemical company is used as an example for application testing to determine measurement effectiveness. Show more

Keywords: Enterprise Eco-efficiency, environmental management, place influencing factor, vicissitude influencing factor, intuitionistic fuzzy identification

DOI: 10.3233/JIFS-179076

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Zhou, Feng | Gu, Xiaomin

Article Type: Research Article

Abstract:  The analysis framework of quality management, organizational innovation and organizational performance is constructed to study the relationship and interaction mechanism, and 156 manufacturing enterprises in the more developed manufacturing areas of our country are selected as samples for empirical research. The results show that quality management can directly affect technological innovation in organizational innovation, and directly affect management innovation through technological innovation. Organizational innovation is the intermediate variable of quality management on the organizational performance. In manufacturing enterprises, the impact of technological innovation on organizational performance is greater than that of management innovation on organizational performance.

Keywords: Fuzzy impact, quality management, organizational innovation, technological innovation, management innovation, organizational performance

DOI: 10.3233/JIFS-179112

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Tang, Ying | Elhoseny, Mohamed

Article Type: Research Article

Abstract:  The computer network security evaluation simulation model is analyzed based on neural network. Firstly, based on the system security experimental platform, the system security detection algorithm is constructed, and the selection strategy of calculation scale is analyzed. The Prefix Span algorithm is introduced, improving its algorithm. Data mining based on Prefix is carried out, with the relationship between intrusions and their relationships analyzed. Secondly, the implementation steps of the algorithm are explained. Finally, the algorithm is tested, and the results are analyzed from three aspects: entropy value feature, active entropy algorithm and cloud platform performance. The conclusion is that the …algorithm designed in this paper has good accuracy and adaptability, and it can play a good supporting role in system safety practice training, and the encryption protocol in the network security protocol is further improved, which has laid a solid foundation for the security development of the network. Show more

Keywords: Neural network, computer, network security

DOI: 10.3233/JIFS-179121

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Li, Huachao | Zhang, Xiantang | Li, Dan | Wu, Linmei | Gao, Wenle | Zhou, Hongmin

Article Type: Research Article

Abstract:  In order to study the effect of empty hole between adjacent blast holes in the perforation process of blasting, based on rock blasting theory, the authors use ANSYS/LS-DYNA to simulate the process of rock fragmentation of double blast holes blasting with one empty hole at the center position. The rock fragmentation effect by blasting, the propagation of cracks between adjacent blast holes and the pressure state of the element near the empty hole are analyzed. The results showed that the empty hole has a guiding effect on cracks propagation between blast holes and the effect of cracks propagation in the …direction of blast holes connection is better. The peak pressure in vertical direction near the empty hole is the largest and the pressure propagation velocity in horizontal direction is the fastest. And with the increase of blast holes spacing, the pressure near the empty hole and the pressure change rate also decrease. The numerical simulation results show that when the blast holes spacing is 0.4 m∼0.6 m, the effect of rock fragmentation and cracks propagation between blast holes are good. The above research results are consistent with theoretical analysis, which can provide reference for selecting reasonable blast holes spacing for engineering. Show more

Keywords: Empty hole, blasting fragmentation, cracks propagation, blast holes spacing, numerical simulation

DOI: 10.3233/JIFS-179116

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Yang, Xiaodong | Lin, Xiaoxia | Lin, Xiaole

Article Type: Research Article

Abstract: With the continuous development of internet and information technology, human beings need to process a lot of information and data. When processing a large amount of information, data mining technology must be used. In order to better mine the required data information quickly based on condition matching, an optimized Apriori and FP - Growth association rule mining algorithm is proposed. Based on the algorithm flow and evaluation model, an optimization and up-date scheme is proposed, an effective data transmission evaluation model is established by effectively evaluating the state of data analysis, and the corresponding evaluation results are given. By introducing …the idea of improved decomposition database to reduce the collection of infrequent databases, the algorithm adaptability is improved. In order to verify the feasibility and reliability of the method, the case experiment is demonstrated. Based on the experimental results, the algorithm is more effective in actual operation efficiency and data mining precision. Show more

Keywords: Apriori algorithm, FP-Growth algorithm, data minin

DOI: 10.3233/JIFS-179097

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Gang, Wang

Article Type: Research Article

Abstract: Under the tide of artificial intelligence, automobile, the most commonly used means of transportation, is about to enter a new era of automation and driverless driving. Road testing of driverless cars designed by many companies in China and other countries has begun and is imminent. However, there is still a gap in the study of the legal adaptation of driverless vehicles, especially the existing road traffic safety laws for driverless enterprises. To promote the rapid application of new technology of driverless vehicles, this paper considers the influence of people, vehicles, roads and traffic management on driverless vehicles, and constructs a …highway safety evaluation model based on support vector machine. In 2003, the model parameters were optimized to reduce the possible criminal dilemma of driverless vehicles. The simulation results show that the research has good theoretical value and practical space. Show more

Keywords: Intelligent algorithm, driverless vehicle, criminal law, research

DOI: 10.3233/JIFS-179098

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Lyu, Xiaodong | Gong, Enpu

Article Type: Research Article

Abstract:  Based on the cluster analysis technique, the prediction technology of mineral resources in the mining area is studied and the collected geochemical data are sorted out. Thirty-nine chemical elements of the data are clustered and six relatively stable regions are obtained. Correlation analysis of the geochemical data in four regions is carried out. Through the correlation between the elements and the characteristic elements of each deposit, predicting the possible resources and types in each region, a line chart of the content of 39 elements at different sampling points in each region is drawn. The results of the preliminary prediction and …the results of the relevant analysis are combined to obtain the possible resources and resource types of the four regions. Finally, by combining the occurrence environment of each deposit with the geological data of each area, the types of mineral resources and resources in the area are further determined more accurately. Show more

Keywords: Cluster analysis, mineral resources, prediction

DOI: 10.3233/JIFS-179110

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Muhmood, Shahid | Ahmed, Imran | Liaquat, Adnan

Article Type: Research Article

Abstract: Let Δ Γ  (G ) be Gallai simplicial complex defined as a generalization of Gallai graph Γ  (G ) such that G is a finite simple graph. The Betti numbers are topological objects which were proved to be invariants by Poincaré. In this note, we give formula for Betti numbers of Gallai simplicial complex associated to prism graph by coding in MATLAB. We prove that a simple graph G having n vertices of the form n  = 3l  + 2 or 3l  + 3 is f -Gallai graph for G = 𝕊 4 …l (respectively G = 𝕊 4 l + 1 ) a graph consisting of star graphs S 2l and S 2 l ′ (respectively S 2l and S 2l +1 ) with l common vertices such that l  ≥ 2. Show more

Keywords: f-vector, Betti number, Gallai simplicial complex, f-graph

DOI: 10.3233/JIFS-181478

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2019

Authors: Wang, Hongli | Islam, Kamrul

Article Type: Research Article

Abstract: Tracking audit of poverty alleviation policy is an important guarantee to win the battle against poverty. Effective prevention and control of audit risk in tracking audit of poverty alleviation policy is the key to ensure the improvement of audit quality. According to the characteristics of financial audit, this paper analyzes the main factors affecting the operation of loan enterprises, puts forward a neural network model for financial audit, and gives the solution of the model. This paper takes poverty alleviation audit as an example, centering on the goal of full coverage of the audit, and based on poverty alleviation data, …integrating relevant data in relevant fields to build poverty alleviation fund audit, so as to achieve full coverage of poverty alleviation audit. Utilize emerging technologies, give full play to the role of full coverage of audit supervision and supervision on precision poverty alleviation, and participate in project consulting and auditing in advance, real-time online tracking audit, and post-performance performance evaluation audit. We will promote the construction of accurate poverty alleviation information, strengthen economic responsibility audits, and more effectively monitor the authenticity of poverty alleviation funds, effectively implement poverty alleviation projects, and achieve accurate poverty alleviation efficiently. The model can better help the auditors to accurately determine the basic status of the audit object and provide a strong guarantee for quickly determining the audit focus. Show more

Keywords: BP neural network, poverty alleviation funds, audit mode

DOI: 10.3233/JIFS-179102

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Fan, Zongwen | Chiong, Raymond | Hu, Zhongyi | Dhakal, Sandeep | Lin, Yuqing

Article Type: Research Article

Abstract: Residuary resistance prediction is an important initial step in the process of designing a sailing yacht. Being able to predict the residuary resistance accurately is crucial for calculating the required propulsive power and ensuring good performance of the sailing yacht. This paper presents a two-layer Wang-Mendel (WM) fuzzy approach to improve the approximation ability of the WM model for this prediction task. Unlike the traditional WM method, in which the consequent of its fuzzy rules is a fuzzy set, the consequent of our proposed approach corresponds to a fuzzy rule base. We apply a top-down method and fuzzy-rule clustering to …construct the two-layer WM model, while a bottom-up method is employed to predict the residuary resistance. Experimental results based on two benchmark functions and a yacht hydrodynamics application show that the proposed approach is able to obtain improved robustness and accuracy in predicting residuary resistance compared to other WM model variants and well-known machine learning algorithms. Show more

Keywords: Two-layer Wang-Mendel model, top-down construction, bottom-up prediction, prediction of residuaryresistance

DOI: 10.3233/JIFS-182518

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Yu, Wang | Huafeng, Wang

Article Type: Research Article

Abstract: Macroeconomics is a very complex and huge system. With the improvement of China’s market economy, it is of great theoretical significance and practical value to apply quantitative economics methods and models to study the macroeconomic state and forecast the economic development trend. The development of regional economy is restricted by natural conditions and social and humanistic conditions, and it is a complex system with many factors and levels. By using grey system theory, data processing can reduce its randomness and strengthen the inherent trend of data, so it is possible to use as few data as possible to establish a …model describing economic system. Through empirical test, the author analyses the main factors of unbalanced regional economic development and puts forward the comparative advantages of regional development. According to the simulation results, the predicted results are stable and reliable. The conclusion of the study has a certain reference value for the formulation of macroeconomic policies. By strengthening the guidance of government classification, the regional economic disparity will be narrowed continuously. Show more

Keywords: Grey relevance, complex set, economic indicators, empirical test

DOI: 10.3233/JIFS-179101

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Gu, Yanhui | Zhu, Shuzhen | Yang, Zhiping | Zhao, Yuanjun

Article Type: Research Article

Abstract: In this paper we suggest a new approach to assessment of banking systemic risk contagion. Rather than the static analysis method, we introduce a dynamic analysis method to simulate the contagion of banking systemic risk. Banking systemic risk contagion is similar to the spread of infectious disease. In this paper, analysis is made on the process of banking systemic risk contagion by means of Matlab simulation based on network dynamic time-variant contagion kinetics model. The conclusion shows that high banking risk contagion rate, low risk immunization rate or low risk isolation protection rate all are the basic reasons for that …the “risk contagion reproductive rate” reaches the threshold value to make banking systemic risk contagion uncontrollable, and it is suggested to ensure banking system safety by taking measures from the three aspects pointed out above and combining with prudential supervision policies. Show more

Keywords: Network dynamic time-varying, contagion kinetics model, banking systemic risk contagion, risk contagion rate, risk immunization rate, risk isolation protection rate

DOI: 10.3233/JIFS-179094

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Xueying, Tian | Panke, Nie

Article Type: Research Article

Abstract: Fuzzy logic system can build process data model by learning data. It is widely used in modeling, monitoring and control. Based on the concept of charity culture education, this paper takes the survey data of private enterprises in Jiangsu, Zhejiang and Shanghai as samples, and uses the structural equation model to test the mechanism of political connection to ease corporate credit financing constraints in companies. The survey shows that bank loans are the main way of financing for private enterprises, but it is difficult for private enterprises to obtain long-term loans. It can be seen that private enterprises are facing …strong credit financing constraints. We found that in the process of enterprise management and operation, political connections are beneficial to reduce the cost of financial borrowing. Through charitable donation, enterprises can have stronger strategic conditions, thus optimizing the management structure of enterprises and reducing financial cost constraints. This kind of association behavior also has huge economic effects, empirical results show that charitable motivation has a significant positive impact on corporate credit demand satisfaction, loan maturity and loan cost. According to the research conclusion, this paper puts forward some suggestions from three aspects: enterprise, government and financial system to promote the healthy development of private enterprises. Show more

Keywords: Fuzzy mathematics, charitable donations, credit financing constraints, structural equation model

DOI: 10.3233/JIFS-179099

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Sheng, Pengcheng | Ma, Jingang | Wang, Dapeng | Wang, Wenyang | Elhoseny, M.

Article Type: Research Article

Abstract: Specific to the trajectory planning of intelligent electric vehicles with multi-constraints in some unknown environment, using rolling optimization principle of predictive model control for reference, an online trajectory planning algorithm based on a rolling window is proposed. Making full use of the local environmental information measured in real-time by intelligent electric vehicle, the path of continuous curvature is generated in the planning window by the Quintic Bézier curve and is optimized by the sequential quadratic planning algorithm. Furthermore, the optimal speed sequence for a given path is planed using the S-shaped curve velocity algorithm. Combining with the actual application scenario …of an intelligent electric vehicle, the algorithm is simulated, and the trajectory planning experiment is carried out based on the actual environmental data. The results show that a safe trajectory with continuous curvature and optimal speed can be produced by using this algorithm in some unknown environment scenarios. Show more

Keywords: Intelligent electric vehicle, rolling window, trajectory planning, quintic bézier curve, s-shaped curve

DOI: 10.3233/JIFS-179095

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Liu, Bingfeng

Article Type: Research Article

Abstract:  Plenty of pharmacological and clinical experiments have proved that polysaccharide has high pharmaceutical value, as mainly demonstrated in the fact that polysaccharide can improve the immune function, anti-tumor, anti-viral, anti-aging, anti-diabetes and anti-radiation of organisms. This paper is mainly about the research on anti-glycation activity based on dynamic particle swarm optimization (DPSO) for BP neural network. BP neural network has been widely used in every field, including bio-medicine. As a non-linear artificial intelligent system, it can look for the complex correlation among variables, recognize and build a model for the input variables, and output the direct non-linear relationship. This paper …combines PSO with BP neural network for the network training and prediction research of the anti-glycation activity data in biomedicine. The prediction based on artificial neural network has been gradually applied in the research of biomedicine and the topological structure of its model includes the input layer, the hide layer and the output layer. When the actual output is inconsistent with the expected output, it enters into the back propagation phase of errors. The error passes the output layer, corrects the weights of every layer in the same way of error gradient descent and starts back propagation to the hide layer and the input layer. This process continues until the error output by the network is acceptable or reaches the pre-set number of learning. The experimental results show the proposed method has satisfactory results, better convergence, and improves the prediction accuracy. Show more

Keywords: Anti-glycation activity, particle swarm optimization, BP neural network, dynamic particle swarm optimization

DOI: 10.3233/JIFS-179113

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Khan, Faisal | Abdullah, Saleem | Mahmood, Tariq | Shakeel, Muhammad | Rahim, Muhammad | ul Amin, Noor

Article Type: Research Article

Abstract:  Pythagorean cubic fuzzy set, is an extension of the interval valued Pythagorean fuzzy set which relax the condition of the square sum of its membership and non-membership degree is less than or equal to one to supremum square sum of its membership and non-membership functions is less than one. Based on this information and by combining the idea of the confidence levels of each Pythagorean cubic fuzzy number, the proposed study investigated a new averaging and geometric operators, namely confidence Pythagorean cubic fuzzy weighted and geometric operators along with their order are presented. Some of their desired properties related to …the new defined operators have been investigated. Under the given information, a multi criteria decision making process has been proposed with a numerical example for showing the effectiveness and validity of it. Show more

Keywords: Paythagorean cubic fuzzy sets, confidence levels, aggregation operators, decision making

DOI: 10.3233/JIFS-181516

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Chen, Tao

Article Type: Research Article

Abstract:  In order to improve the classification effect of the gene expression profile with high dimension and small sample, this paper proposes an improved rotation forest algorithm. Firstly, the information index to classification algorithm (IIC) can’t deal with multi-class problems, and then an improved IIC algorithm is proposed to achieve the attribute reduction so that the noise genes are eliminated and the dimensions of feature space are reduced. Secondly, the rotation forest algorithm was improved from the two aspects of improving diversity and accuracy of the base classifiers to classify gene expression profiles. The simulation experimental results on the benchmark gene …expression profile datasets show that our proposed algorithm is better than rotation forest algorithm in classification accuracy, stability and running time. Show more

Keywords: Gene expression profiles, classification, the multiclass information index to classification, rotation forest algorithm, ensemble learning

DOI: 10.3233/JIFS-179115

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Wang, Rui | Yang, Shuchen | Wang, Dongxue

Article Type: Research Article

Abstract: Active vibration control is a new subject developed in the last twenty years. It mainly studies the theory, method and measure of active vibration control of structures. After introducing the linear quadratic optimal control algorithm, the numerical simulation of the linear quadratic optimal control for a piezoelectric flexible cantilever beam is carried out. The model of the flexible cantilever beam is established firstly, including the differential equation of motion, the moment equation of the actuator and the output equation of the sensor. Then the optimal feedback gain matrix of the system is obtained by using the linear quadratic optimal control. …In this paper, genetic algorithm is used to optimize the above parameters of BP neural network, and the improved BP neural network is applied to the study of nonlinear model of dynamic coal blending. A method based on piezoelectric self-sensing method is proposed as a test method. A piezoelectric wafer of piezoelectric bimorph is used as the sensing element, analyzing the relationship between the acceleration parameters of the piezoelectric bimorph and the induced charge generated by the sensing element, and a test circuit device for driving force is designed. The method uses genetic algorithm to calculate the control force online and uses the neural network to simulate the dynamic characteristics of the plate, thus replacing the cantilever plate for dynamic analysis. The system fully utilizes the characteristics of genetic algorithms and neural networks and is a new type of vibration control system with promising future. Show more

Keywords: Piezoelectric intelligent structure, neural network, driving force

DOI: 10.3233/JIFS-179100

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Wu, Liangping | Wang, Jie | Gao, Hui

Article Type: Research Article

Abstract: In this paper, we expand the Hamy mean (HM) operator and dual Hamy mean (DHM) operator with IVIFNs to propose the interval -valued intuitionistic fuzzy Hamy mean (IVIFHM) operator, interval-valued intuitionistic fuzzy weighted Hamy mean (IVIFWHM) operator, interval-valued intuitionistic fuzzy dual Hamy mean (IVIFDHM) operator and interval-valued intuitionistic fuzzy weighted dual Hamy mean (IVIFWDHM) operator. Then the MADM models are designed with IVIFWHM and IVIFWDHM operators. Finally, we gave an example for competiveness evaluation of tourist destination to show the proposed models.

Keywords: Multiple attribute decision making (MADM), interval-valued intuitionistic fuzzy numbers (IVIFNs), IVIFWHM operator, IVIFWDHM operator, competiveness evaluation, tourist destination

DOI: 10.3233/JIFS-181545

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-17, 2019

Authors: Liang, Haibo | Chen, Haifeng | Lu, Yanjun

Article Type: Research Article

Abstract:  To studies and optimizes the fault diagnosis method of comprehensive logging unit pressure sensor, and studies the temperature drift and temperature compensation theory of pressure sensor, establishes fault diagnosis model, and uses artificial intelligence algorithm based on machine learning to apply the temperature drift fault of piezo resistive silicon pressure sensor. The improved particle swarm optimization RBF neural network algorithm has been used to establish the temperature compensation model. By comparing with RBF neural network and particle swarm optimization algorithm, the advantages and disadvantages are compared. The results show that the improved particle swarm optimization RBF neural network algorithm is …efficient. The online real-time monitoring of the mud logging sensor network fault has achieved, and the accuracy of the sensor temperature compensation has improved, thereby improving the stability and accuracy of the sensor of the comprehensive logging unit. The simulation results show that the improved particle swarm optimization RBF neural network algorithm has a good temperature compensation effect on the piezoresistive silicon pressure sensor. Show more

Keywords: Comprehensive logging unit, sensor, machine learning, artificial intelligence, IPSO-RBF algorithm

DOI: 10.3233/JIFS-179114

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Ding, Zhihua | Lei, Zhengbao | Kumar Singh, Amit

Article Type: Research Article

Abstract:  With the development of science and technology and the improvement of people’s living standard, the car has become an indispensable tool in people’s life. People have higher requirements on the stability, safety, and comfort of the vehicle. Moreover, how to design the suspension system with excellent performance has always been the research focus of the relevant institutions at home and abroad. Based on this, starting from the role of automotive suspension, the control methods were divided into the active, passive, and semi-active way. The control mode of the automotive electronic control system was studied, and the sensor, switch, signal and …other components of the active electronic control system also were studied. The mathematical model of the active suspension system was built, and the application of fuzzy control in automotive electronic control suspension system was researched. The simulation experiment was carried out by digital simulation, and the effect was studied and analyzed. The practice has proved that the design of automotive electronic control suspension system based on digital simulation can effectively reduce the vibration of the automobile and improve the quality of the automobile, which will become a siginicate direction of future automotive research. Show more

Keywords: Fuzzy control, active suspension, automotive electronic control

DOI: 10.3233/JIFS-179122

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Zhang, Wei | Wang, Meng | Zhu, Yanchun | Wang, Jian | Ghei, Nasor

Article Type: Research Article

Abstract:  The traditional sentiment classification focuses more on the three polarities of sentiments, which are not fine-grained enough to fully characterize the overall evolution of sentiments and face the problem of sparse features. Aiming at these limitations, we propose a novel method to handle this problem: a hybrid neural network model for fine-grained emotion classification and computing. First, a sentiment dictionary is constructed by using the sentiment lexical ontology. Then, according to dependency parsing, a textual sentiment classifier is built with the aid of long short term memory network technologies; fine-grained netizen sentiment index is calculated. Finally, our approach was applied …to practical business problem–exploring the interactions between the netizen sentiment index and the stock return in order to test its reliability. The experimental results show that compared with traditional methods, this approach improves the accuracy of sentiment classification, possess higher classification performance, reduces the number of iterations and saves computing resources. The empirical analysis demonstrate that hybrid method is rapid, effective and feasible, could be more suitable for fine-grained emotion computing. Show more

Keywords: Hybrid neural network algorithm, sentiment analysis, emotion computing, lexicon construction

DOI: 10.3233/JIFS-179111

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Han, Meng | Ding, Jian

Article Type: Research Article

Abstract:  Time decay model (TDM) is frequently used for mining frequent patterns on data streams, because the information embedded in the data from the new transactions is particularly valuable. However, some existing methods on designing decay factor of TDM are random, so their results are unsteady. Some other methods focus on only 100% recall or 100% precision of algorithm, but the corresponding high precision or high recall is ignored. In order to balance high recall and high precision of algorithm, meanwhile, ensure the stability of the result, a novel average decay factor is designed. In addition, to further increase the weights …of the latest transactions and reduce the weights of historical transactions, another novel Gaussian decay factor is proposed. Hence, based on an analysis of existing decay factors, this paper aims to design two novel decay factors and two novel TDMs. Algorithms based on these two TDMs are designed to discover frequent patterns over data streams. The methods of mining frequent patterns on high density or low density data streams are evaluated via experiments. This paper’s research findings show that the application of average time decay factor can balance the high recall and high precision of algorithm. And Gaussian decay factor can produce better performance than existing algorithms. Show more

Keywords: Data streams mining, frequent pattern mining, decay factor, time decay model, Gaussian function

DOI: 10.3233/JIFS-181654

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Zhang, Renshang

Article Type: Research Article

Abstract:  In order to strengthen the overall security of the network, this paper analyzes the network security issues. The study of the network security is carried out based on the Prefix Span algorithm for data mining. The classical data mining algorithm, Prefix Span algorithm and its improvement are proposed. Then, combined with the characteristics of network security, the proposed algorithm is applied to network security intrusion detection. From the algorithm flow and evaluation model, an optimization and update scheme is proposed, and an effective data transmission evaluation model is established by effectively evaluating the status of data analysis. The experimental results …show that the efficiency of the algorithm is higher than the original one. In the long sequence mode mining, the algorithm has more advantages and can better meet the high requirements of intrusion detection. However, due to the diversity and complexity of intrusion methods, data mining still needs deeper research and performance improvement in intrusion detection. Show more

Keywords: Prefix span algorithm, data mining, cyber security

DOI: 10.3233/JIFS-179124

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2019

Authors: Ghomi-Avili, Morteza | Khosrojerdi, Amir | Tavakkoli-Moghaddam, Reza

Article Type: Research Article

Abstract: This paper presents a multi-objective model for the closed-loop supply chain network design (CLSCND) with a price-dependent demand while considering random disruptions and shortage. This network consists of suppliers, production centers, collection/inspection centers, disposal centers, and market zones. In this model, a demand function is assumed to be a function of price offered to the customer by two different linear and exponential forms. Different resilience strategies including lateral transshipment among production centers and multi-source allocation are applied to model the resilient supply chain network design problem. Moreover, the importance of time for costumers is led to consider different transportation methods …for fulfilling the customers’ demand. Then, three different objective functions were incorporated when shortage is allowed and the unfulfilled demand will be back ordered. Then, a compromise programming method is used to convert the multi-objective model to a single-objective equivalent form. Furthermore, the application of the model is examined in a real industrial case involved in the production and distribution of glass. Finally, and the numerical results arrive at helpful managerial insights. Show more

Keywords: Closed-loop supply chain, disruption, shortage, compromise programming, uncertainty

DOI: 10.3233/JIFS-181051

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019