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Fuzzy Optimization and Decision Making

01-12-2013

A VIKOR-based method for hesitant fuzzy multi-criteria decision making

Authors: Huchang Liao, Zeshui Xu

Published in: Fuzzy Optimization and Decision Making | Issue 4/2013

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Abstract

Since it was firstly introduced by Torra and Narukawa (The 18th IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, 2009, pp. 1378–1382), the hesitant fuzzy set has attracted more and more attention due to its powerfulness and efficiency in representing uncertainty and vagueness. This paper extends the classical VIKOR (vlsekriterijumska optimizacija i kompromisno resenje in serbian) method to accommodate hesitant fuzzy circumstances. Motivated by the hesitant normalized Manhattan distance, we develop the hesitant normalized Manhattan \(L_p\)—metric, the hesitant fuzzy group utility measure, the hesitant fuzzy individual regret measure, and the hesitant fuzzy compromise measure. Based on these new measures, we propose a hesitant fuzzy VIKOR method, and a practical example is provided to show that our method is very effective in solving multi-criteria decision making problems with hesitant preference information.

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Appendix
Available only for authorised users
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Metadata
Title
A VIKOR-based method for hesitant fuzzy multi-criteria decision making
Authors
Huchang Liao
Zeshui Xu
Publication date
01-12-2013
Publisher
Springer US
Published in
Fuzzy Optimization and Decision Making / Issue 4/2013
Print ISSN: 1568-4539
Electronic ISSN: 1573-2908
DOI
https://doi.org/10.1007/s10700-013-9162-0

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