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