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

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