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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: Liu, Peide | Wang, Shuya | Chu, Yanchang
Article Type: Research Article
Abstract: The dependent ordered weighted averaging (DOWA) operator can relieve the influence of unfair data from the aggregated arguments, and Bonferroni mean (BM) operator can capture the interrelationship of the aggregated arguments. In order to making fully use of the advantages of these two types of operators, we combine the DOWA with the BM operator in intuitionistic linguistic setting, and propose the intuitionistic linguistic dependent Bonferroni mean (ILDBM) operator and the intuitionistic linguistic dependent geometric Bonferroni mean (ILDGBM) operator. Simultaneously, several properties of these novel operators are discussed. Moreover, a method based on these operators is developed to solve the multi-attribute …group decision making (MAGDM) problems with intuitionistic linguistic information. The advantages of the proposed method are (1) it can consider the interrelationship between any two attribute values; (2) it can relieve the influence of unfair attribute values given by some biased decision makers. Finally, an application example is represented to illustrate the practicality and validity of the developed method by comparing with the existing methods. Show more
Keywords: Multiple attribute group decision making, intuitionistic linguistic set, dependent ordered weighted averaging operator, Bonferroni mean, intuitionistic linguistic dependent geometric Bonferroni mean (ILDGBM) operator
DOI: 10.3233/JIFS-17222
Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1275-1292, 2017
Authors: Samadpour Khalifeh Mahaleh, Vahid | Ezzati, Reza
Article Type: Research Article
Abstract: In this paper, first, we introduce method of successive approximations in terms of midpoint quadrature formula, which is given for solving linear fuzzy Fredholm integral equations (FFIEs) of the second kind. Moreover, the convergence of the proposed method is given. Also we investigate the numerical stability of the proposed method with respect to the choice of the first iteration. Finally, two numerical examples are presented to show the accuracy of the proposed method.
Keywords: Linear fuzzy Fredholm integral equation, midpoint quadrature formula
DOI: 10.3233/JIFS-162044
Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1293-1302, 2017
Authors: Zhan, Hang | Liu, Hua-Wen
Article Type: Research Article
Abstract: This paper aims to complete and correct some results in the paper “Cross-migrative property for uninorms with different neutral elements” [15 ]. The proof of Remark 1 in [15 ] left out several very special cases, we complete the proof of this remark by Lemmas i, ii, iii, iv. Proposition 3.6 in [15 ] is not entirely correct since the authors actually only consider the case e 1 < e 2 . In this paper we complement Proposition 3.6 and also correct the theorems whose proofs need to use the conclusion of Proposition 3.6.
Keywords: Cross-migrativity, fuzzy connective, uninorm, t-Norm, t-Conorm
DOI: 10.3233/JIFS-17351
Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1303-1311, 2017
Authors: Peng, Xindong | Dai, Jingguo
Article Type: Research Article
Abstract: This paper presents three novel hesitant fuzzy soft set (HFSS) methods. First, the objective weights of various parameters are determined via Shannon entropy theory. Then, we develop the combined weights, which can show both the subjective information and the objective information. Later, we propose three algorithms to solve hesitant fuzzy soft decision making problem by Multi-Attributive Border Approximation area Comparison (MABAC), Weighted Aggregated Sum Product Assessment (WASPAS) and Complex Proportional Assessment (COPRAS). Finally, the effectiveness and feasibility of approaches are demonstrated by some numerical examples.
Keywords: Hesitant fuzzy soft set, combined weighed, MABAC, WASPAS, COPRAS
DOI: 10.3233/JIFS-17124
Citation: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 2, pp. 1313-1325, 2017
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