期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 30, 期 5, 页码 1382-1395出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2021.3058613
关键词
Fuzzy sets; Ranking (statistics); Decision analysis; Monte Carlo methods; Indexes; Analytical models; Sorting; Decision analysis; dependent fuzzy numbers; fuzzy multicriteria; fuzzy numbers; intransitivity; ranking of fuzzy numbers
资金
- Russian National Research [RFBR-19-07-01039]
- Spanish National Research [PGC2018-099402-B-I00]
- ERDF
- National Natural Science Foundation of China (NSFC) [71701158, 72071151]
- MOE (Ministry of Education in China) Project of Humanities and Social Sciences [17YJC630114]
- Natural Science Foundation of Hubei Province [2020CFB773]
This study explores the ranking of fuzzy numbers, specifically the ranking of dependent fuzzy numbers. By comparing different fuzzy ranking methods, the equivalence and intransitivity of different methods in ranking independent and dependent fuzzy numbers are proven. Through a real-life case study, the differences in ordering alternatives by classical and modified ranking methods are demonstrated.
Ranking of fuzzy numbers (FNs) is a key stage within fuzzy multicriteria decision analysis (FMCDA). However, the influence of FNs dependence on their ranking, including ranking alternatives within FMCDA, has not been studied yet. In this article, for studying such an influence, the widely used defuzzification-based fuzzy ranking methods, centroid index, and integral of means, along with their modifications, which are pairwise comparison defuzzification ranking methods, are explored. The authors argue that classical defuzzification ranking methods are intended to deal with independent FNs, whereas their modifications may be used for ranking of dependent FNs. It is provided a proof in which, pairwise comparison Yuan's and defuzzification integral of means ranking methods, are equivalent when ordering independent and can differ when ordering dependent FNs; at the same time, Yuan's and modified integral of means ranking methods are equivalent when ordering both independent and dependent FNs. Intransitivity of the two modified ranking methods when ordering dependent FNs as well as intransitivity of alternatives in FMCDA for fuzzy multiattribute value theory (FMAVT) as an example is proved. The distinctions in ranking of dependent FNs by all ranking methods under consideration are explored through ordering alternatives within FMAVT. For this, a real-life case study is considered, and the distinctions in ordering alternatives by classical and modified ranking methods are demonstrated. Statistical analysis of distinctions in ordering alternatives by FMAVT with different ranking methods is implemented with the use of Monte-Carlo simulation. The significance of distinctions for the choice and ranking multicriteria problems, as well as for justification of utilizing ranking methods under consideration in FMCDA, is discussed.
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