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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Kaur, Jeevan Jot | Kumar, Amit
Article Type: Research Article
Abstract: In this paper, it is pointed out that in the existing methods [Sarangam Majumdar, Numerical solutions of fuzzy complex system of linear equations, German Journal of Advanced Mathematical Sciences 1 (2013), 20–26] for solving fuzzy complex system of linear equations in which all the parameters except variables are represented by triangular/trapezoidal fuzzy complex numbers as well as the fuzzy complex system of linear equations in which all the parameters except coefficients are represented by triangular/trapezoidal fuzzy complex numbers, Majumdar has assumed that on subtracting a fuzzy number from itself, the obtained value is a zero fuzzy number as well …as on dividing a fuzzy number by itself, the obtained value is a unit fuzzy number. To resolve these flaws of the existing methods, two new methods (named as Mehar method and Keerat method) are proposed for solving the same systems of fuzzy complex linear equations. Show more
Keywords: Fuzzy number, fuzzy complex number, system of fuzzy complex linear equations
DOI: 10.3233/JIFS-16134
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1955-1965, 2016
Authors: Zhang, Chun-Lian
Article Type: Research Article
Abstract: Supply chain finance is a new financing model that makes the industry chain as an organic whole chain to develop financing services. Its purpose is to combine with financial institutions, companies and third-party logistics companies to achieve win-win situation. The supply chain is designed to maximize the financial value. The supply chain finance business in our country is still in its early stages. Conducting the research on risk assessment and control of the supply chain finance business has an important significance for the promotion of the development of our country supply chain finance business. The paper investigates the dynamic multiple …attribute decision making problems, in which the decision information, provided by decision makers at different periods, is expressed in intuitionistic fuzzy numbers. We first develop one new aggregation operators called dynamic intuitionistic fuzzy Hamacher weighted averaging (DIFHWA) operator. Moreover, a procedure based on the DIFHWA and IFHWA operators is developed to solve the dynamic multiple attribute decision making problems where all the decision information about attribute values takes the form of intuitionistic fuzzy numbers collected at different periods. Finally, an illustrative example for risk assessment of supply chain finance is given to verify the developed approach and to demonstrate its practicality and effectiveness. Show more
Keywords: Dynamic multiple attribute decision making, dynamic intuitionistic fuzzy Hamacher weighted averaging (DIFHWA) operator, intuitionistic fuzzy Hamacher weighted averaging (IFHWA) operator, risk assessment, supply chain finance
DOI: 10.3233/JIFS-16174
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1967-1975, 2016
Authors: Zhao, Yi-Ding | Li, Zhi-Min | Zhang, Xi-Guang
Article Type: Research Article
Abstract: Software is omnipresent in our daily lives. Delivering quality software on schedule and in budget has become the challenge for most companies. As software size and complexity are increasing at a geometric rate, assuring software quality is becoming more difficult. Thus, how to control and manage software quality has attracted more and more attentions. In this paper, we investigate the multiple attribute decision making problems with fuzzy number intuitionistic fuzzy information. We first introduce some operations on the fuzzy number intuitionistic fuzzy sets. Then, we further develop the fuzzy number intuitionistic fuzzy Hamacher power weighted average (FNIFHPWA) operator. Then, we …apply the fuzzy number intuitionistic fuzzy Hamacher power weighted average (FNIFHPWA) operator to deal with multiple attribute decision making under the fuzzy number intuitionistic fuzzy environments. Finally, an illustrative example for evaluating the software quality is given to verify the developed approach. Show more
Keywords: Multiple attribute decision making (MADM), fuzzy number intuitionistic fuzzy sets, Hamacher aggregation operators, fuzzy number intuitionistic fuzzy Hamacher power weighted average (FNIFHPWA) operator, software quality evaluation
DOI: 10.3233/JIFS-16190
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1977-1985, 2016
Authors: Hung, Jui-Chung
Article Type: Research Article
Abstract: Stock market volatility exhibits characteristics such as clustering and time-varying fluctuations. This paper proposes a two-stage method for addressing these concerns. The involved procedure is as follows: First, a fuzzy system is used to analyze clustering regimes according to the size of fluctuations. Second, the clustering regimes of Stage I are used to establish a support vector regression (SVR) model, which is used to reduce the time-varying complexity. However, the fuzzy-SVR model combines the parameters of membership functions and SVR models, further complicating the problem. Thus, this paper presents parallel research based on a genetic algorithm (GA) for estimating the …parameters of the membership functions and SVR model. Data from four stock markets—the Taiwan Stock Exchange weighted stock index (Taiwan), the NASDAQ Composite index, the Hang Seng index (Hong Kong), and the Shanghai Composite index (Shanghai)—were analyzed in this study to illustrate the performance of the proposed model. According to the simulation results, the forecasting of out-of-sample volatility performance was significantly improved when the model accounted for the behavioral effect of both clustering and time-varying fluctuations. Show more
Keywords: Support vector regression, forecasting volatility, fuzzy system, genetic algorithm, clustering
DOI: 10.3233/JIFS-16209
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 1987-2000, 2016
Authors: Zhao, Xiqing | Yang, Lianhe | Wang, Lijun
Article Type: Research Article
Abstract: As the basic necessities of human life, food, clothing, housing and transportation are of great importance to everyone, and the changes in these essential requirements of people can clearly manifest the development level of a society. China is a dominant textile producer in the world, with the textile export accounting for a large proportion of its overall trade export. In recent years, however, our textile export has encountered great challenges from both home and abroad. On the one hand, Green Barrier has raised its limits to China’s textile export; on the other hand, people have laid a greater emphasis on …environmental protection and their health, both of which call for advanced technology in the field of ecological textile. Yet the fact is that the development of China’s ecological textile is still confined to the use of innocuous raw materials and its processing confined to the category of cleaner production and industrial communities. In this paper, we investigate the multiple attribute decision making (MADM) problems for evaluating the resource integration capability of textile enterprise with hesitant fuzzy uncertain linguistic information. Then, motivated by the ideal of traditional power geometric aggregation operator, we have developed hesitant fuzzy uncertain linguistic power weighted geometric (HFULPWG) operator. Then, we have utilized hesitant fuzzy uncertain linguistic power weighted geometric (HFULPWG) operator to develop some approaches to solve the hesitant fuzzy uncertain linguistic multiple attribute decision making problems. Finally, a practical example for evaluating the resource integration capability of textile enterprise is given to verify the developed approach. Show more
Keywords: Multiple attribute decision making (MADM), hesitant fuzzy uncertain linguistic values, hesitant fuzzy uncertain linguistic power weighted geometric (HFULPWG) operator, resource integration capability, textile enterprise
DOI: 10.3233/JIFS-16216
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 2001-2008, 2016
Authors: Ahlatcioglu, Mehmet | Albayrak, Inci | Kocken, Hale Gonce | Ozkok, Beyza Ahlatcioglu
Article Type: Research Article
Abstract: In this paper, a new method is proposed to find the feasible (strong) fuzzy solution of a square (n × n ) fully fuzzy linear equation system (FFLS) with triangular fuzzy numbers. The main purpose of the proposed method is to remove all the sign restrictions on the parameters and variables. Our method, which is based on the multiplication of two arbitrary triangular fuzzy numbers, converts the FFLS to a mixed integer programming problem. The method is illustrated with numerical examples.
Keywords: Linear equation system, fuzzy number, fuzzy decision making, mixed integer programming
DOI: 10.3233/JIFS-16227
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 2009-2015, 2016
Authors: Wang, Jian-Bo | Wang, Ming-Zhe
Article Type: Research Article
Abstract: Communication network has been focused by a lot of researchers for years. The communication network solution is used to solve the bottleneck of the on chip communication between processors, to improve the performance of overall system, and to promote the development of high performance computer. In order to improve the efficiency of communication network design and reduce the time-to-market of communication network product, it is important to develop a useful tool to evaluate the communication network performance. Moreover, since the communication network is limited by the on-chip resources, area and power consumption, it is crucial to research the optimization method …with various constraint conditions to enhance the communication network performance. This paper demonstrates on the multiple attribute decision making problems to testify the comprehensive performance of communication network with the fuzzy number intuitionistic fuzzy information. Some operations on the fuzzy number intuitionistic fuzzy sets are provided in advance. Afterwards, we propose the fuzzy number intuitionistic fuzzy Hamacher correlated geometric (FNIFHCG) operator. Then, we apply the FNIFHCG operator to tackle the multiple attribute decision making with the fuzzy number intuitionistic fuzzy information. At last, an example to test the performance of communication network is proposed. Show more
Keywords: Comprehensive performance evaluation, fuzzy number intuitionistic fuzzy sets, fuzzy number intuitionistic fuzzy Hamacher correlated geometric (FNIFHCG) operator, communication network
DOI: 10.3233/JIFS-16238
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 2017-2025, 2016
Authors: Ali, Javid | Ahmed, M.A. | Nafadi, H.A.
Article Type: Research Article
Abstract: The purpose of this paper is to introduce the notion of hybrid tangential property for pairs of single-valued and multi-valued mappings in modified intuitionistic fuzzy metric spaces and we prove common fixed point theorems for such mappings in modified intuitionistic fuzzy metric spaces.
Keywords: Modified IFMS, hybrid map, common fixed point
DOI: 10.3233/JIFS-16315
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 2027-2033, 2016
Authors: Zhou, Ge
Article Type: Research Article
Abstract: From the beginning of 21th, enterprise’s competition predominance depends on capability of green supply chain. Suppliers are fountains of green supply chain, and the performance will directly influence the whole supply chain performance. The green supplier performance management is a key and difficult question in green supply chain manage system, which contains two cores, supplier performance evaluation and performance improvement. With the practice of two items, enterprise can control supplier performance continuously, and take improve actions in time, make the supplier performance to achieve requested level. Finally, enterprise can optimize the competition capability. In this paper, we investigate the multiple …attribute decision making (MADM) problems for supplier performance evaluation with triangular fuzzy information. Motivated by the idea of Bonferroni mean and Einstein operations, we develop the aggregation techniques called the triangular fuzzy Einstein Bonferroni mean (TFEBM) operator for aggregating the triangular fuzzy information. For the situations where the input arguments have different importance, we then define the triangular fuzzy weighted Einstein Bonferroni mean (TFWEBM) operator, based on which we develop the procedure for multiple attribute decision making under the triangular fuzzy environments. Finally, a practical example for supplier performance evaluation is given to verify the developed approach. Show more
Keywords: Multiple attribute decision making (MADM), triangular fuzzy numbers, Bonferroni mean, triangular fuzzy Bonferroni mean (TFBM) operator, triangular fuzzy weighted Bonferroni mean (TFWBM) operator, Chinese traditional medicine industry, modernization development
DOI: 10.3233/JIFS-16396
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 2035-2042, 2016
Authors: Ghorai, Ganesh | Pal, Madhumangal
Article Type: Research Article
Abstract: Recently, Ghorai and Pal [12 ] introduced the notion of m -polar fuzzy planar graphs using the concept of m -polar fuzzy multisets. In this paper, m -polar fuzzy faces and strong m -polar fuzzy faces are defined. Then m -polar fuzzy dual graph of an m -polar fuzzy planar graph is introduced with example. Some isomorphism properties of m -polar fuzzy planar graphs are also studied.
Keywords: m-polar fuzzy planar graphs, faces of m-polar fuzzy planar graphs, m-polar fuzzy dual graphs, isomorphism of m-polar fuzzy planar graphs
DOI: 10.3233/JIFS-16433
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 2043-2049, 2016
Authors: Touqeer, Muhammad | Çağman, Naim
Article Type: Research Article
Abstract: The fuzzification of (weak, strong, reflexive) hyper h -ideals in hyper BCK-algebras is considered. It is shown that every fuzzy (weak, strong, reflexive) hyper h -ideal is a fuzzy (weak, strong, reflexive) hyper BCK-ideal. Relations among (fuzzy) weak hyper h -ideals, (fuzzy) hyper h -ideals, (fuzzy) strong hyper h -ideals and fuzzy reflexive hyper h -ideals are given. The hyper homomorphic pre-image of a fuzzy hyper h -ideal is discussed. It is proved that the product of fuzzy hyper h -ideals is also a fuzzy hyper h -ideal.
Keywords: Hyper BCK-algebras, fuzzy hyper h-ideal, fuzzy weak hyperh-ideal, fuzzy strong hyper h-ideal, fuzzy reflexive hyperh-ideal
DOI: 10.3233/IFS-162194
Citation: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 3, pp. 2051-2058, 2016
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