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Journal of Intelligent & Fuzzy Systems - Volume 32, issue 3

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Price: EUR 315.00
ISSN 1064-1246 (P)
ISSN 1875-8967 (E)

Impact Factor 2024: 1.7

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.

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Solving fuzzy matrix equation of the form X˜A=B˜

Authors: Guo, Xiaobin | Zhang, Ke

Article Type: Research Article

Abstract: In paper a general fuzzy matrix equation X ˜ A = B ˜ is investigated by using the embedding approach. A numerical procedure for calculating the solution is designed and a sufficient condition for the existence of fuzzy solution is derived. Two examples are given to illustrate the proposed method.

Keywords: Fuzzy numbers, matrix analysis, fuzzy matrix systems, fuzzy approximate solutions

DOI: 10.3233/JIFS-16895

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 3, pp. 2771-2778, 2017

Price: EUR 27.50

Pythagorean uncertain linguistic partitioned Bonferroni mean operators and their application in multi-attribute decision making

Authors: Liu, Zhengmin | Liu, Peide | Liu, Weilong | Pang, Jinyan

Article Type: Research Article

Abstract: In this paper, a new extension of linguistic term sets called Pythagorean uncertain linguistic sets (PULSs) is defined, which is based on uncertain linguistic term sets and Pythagorean fuzzy sets (PFSs) originally introduced by Yager [41 ]. This new fuzzy linguistic set has a greater membership representation space and a more powerful expression ability than the intuitionistic uncertain linguistic sets (IULSs) proposed by Liu [18 ]. Based on the defined operations of PULSs, the Pythagorean uncertain linguistic Bonferroni mean (PULBM) operator and its weighted form are developed to capture the interrelationship among attributes. Taking into account that the classical BM … Show more

Keywords: Multi-attribute decision making, pythagorean uncertain linguistic set, bonferroni mean, partitioned Bonferroni mean

DOI: 10.3233/JIFS-16920

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 3, pp. 2779-2790, 2017

Price: EUR 27.50
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