Studies on consistency measure of hesitant fuzzy preference relations

被引：31
作者：
Zhu, Bin [1 ]
机构：
[1] Southeast Univ, Nanjing 211189, Jiangsu, Peoples R China
来源：
FIRST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT | 2013年 / 17卷
关键词：
Hesitant fuzzy set (HFS); heisntat fuzzy preference relation (HFPR); fuzzy preference relations (FPR); consistency measre; regression; GROUP DECISION-MAKING; MODEL;
D O I：
10.1016/j.procs.2013.05.059
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Hesitant fuzzy sets (HFSs), as an extension of fuzzy sets, consider the degrees of membership by a set of possible values rather than a single one. For further applications of HFSs to decision making, we develop a concept of hesitant fuzzy preference relations (HFPRs) as a tool to collect and present decision makers' (DMs) preferences. Due to the importance of consistency measure for HFPRs to ensure that DMs are being neither random nor illogical, we develop a regression method to transform HFPRs to fuzzy preference relations (FPRs) with the highest consistency level. Sonic examples are given for illustration. (C) 2013 The Authors. Published by Elsevier B.V.
引用
收藏
页码：457 / 464
页数：8
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