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Content Provider | IEEE Xplore Digital Library |
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Author | Xibao Zhang Hepu Deng Yunxu Zhou |
Copyright Year | 2015 |
Description | Author affiliation: Sch. of Bus., Qingdao Univ., Qingdao, China (Xibao Zhang) || Sch. of Bus. IT & Logistics, RMIT Univ., Melbourne, VIC, Australia (Hepu Deng) || Int. Office, Qingdao Univ., Qingdao, China (Yunxu Zhou) |
Abstract | In this paper we present a multi-indices based method that can be used to compare and rank fuzzy numbers in decision making under uncertainty. The concepts of Euclidean distance and fuzzy maximum are effectively combined for determining each fuzzy number's performance index value in the process of fuzzy number comparison and ranking. To address the concern of this ranking index, two additional indices are introduced. As a result, all the information available in existing fuzzy numbers has been considered, and satisfactory ranking outcomes can be obtained. We further present representative examples in the fuzzy number ranking literature in order to illustrate the proposed method's applicability for effective fuzzy number comparison and ranking in fuzzy decision making. |
Starting Page | 5 |
Ending Page | 9 |
File Size | 206658 |
Page Count | 5 |
File Format | |
e-ISBN | 9781467376822 |
DOI | 10.1109/FSKD.2015.7381904 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-08-15 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Uncertainty Hamming distance Fuzzy maximum Decision making Euclidean distance Performance analysis Indexes Euclidean Distance Fuzzy Numbers |
Content Type | Text |
Resource Type | Article |
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