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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52567

Title: Another View on Generalized Intuitionistic Fuzzy Soft Sets and Related Multiattribute
Authors: Feng Feng
Hamido Fujita
Muhammad Irfan Ali
Ronald R. Yager
Xiaoyan Liu
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: Fuzzy sets
Decision making
Uncertainty
Iron
Telecommunications
Data analysis
Date: 2019-03
Issue Date: 2019-11-18T08:27:24Z
Publisher: IEEE Transactions on Fuzzy Systems
Abstract: Abstract: The existing definition of generalized intuitionistic fuzzy soft sets (GIFSSs) is clarified and reformulated as a combination of an IFSS over the universe of discourse and an intuitionistic fuzzy set in the parameter set. With this new perspective, two different types of generalized intuitionistic fuzzy soft subsets and various new operations are developed for GIFSSs. The upper and lower substitutions for both intuitionistic fuzzy sets and GIFSSs are defined as well. Some existing notions and results are improved by virtue of these new concepts. Using the expectation score function, two binary relations are proposed for comparing intuitionistic fuzzy values. An algorithm is designed for coping with multiattribute decision making (MADM) problems with a combined use of the GIFSS, the extended intersection operation, the intuitionistic fuzzy weighted averaging operator, and other related notions. A case study concerning a faculty appointment problem is conducted to illustrate the proposed algorithm. Moreover, a comparative analysis between our approach and other related works is given to demonstrate the effectiveness and advantages of the newly proposed method.
Relation: 27(3) pp.474-488
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52567
Appears in Collections:[資訊工程學系] 期刊論文

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