文献类型：期刊文献

英文题名：On qualitative multi-attribute group decision making and its consensus measure: A probability based perspective

作者：Yan, Hong-Bin[1];Ma, Tieju[1];Van-Nam Huynh[2]

机构：[1]East China Univ Sci & Technol, Sch Business, Meilong Rd 130, Shanghai 200237, Peoples R China;[2]Japan Adv Inst Sci & Technol, Sch Knowledge Sci, 1-1 Asahidai, Nomi City, Ishikawa 9231292, Japan

年份：2017

卷号：70

起止页码：94

外文期刊名：OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE

收录：;EI(收录号：20233214517432);WOS:【SSCI(收录号:WOS:000401383000007)，SCI-EXPANDED(收录号:WOS:000401383000007)】；

基金：We would like to appreciate constructive comments and valuable suggestions from the three anonymous referees. This study was partly supported by the National Natural Sciences Foundation of China (NSFC) under grant nos. 71471063, 71125002, 71571069, and 71431004; sponsored by the Innovation Program of Shanghai Municipal Education Commission under grant no. 14ZS060; and supported by the Fundamental Research Funds for the Central Universities in China under grant no. WN1516009.

语种：英文

外文关键词：Linguistic MAGDM; Random preference; Weights; Stochastic dominance; Consensus measure

摘要：This paper focuses on qualitative multi-attribute group decision making (MAGDM) with linguistic information in terms of single linguistic terms and/or flexible linguistic expressions. To do so, we propose a new linguistic decision rule based on the concepts of random preference and stochastic dominance, by a probability based interpretation of weight information. The importance weights and the concept of fuzzy majority are incorporated into both the multi-attribute and collective decision rule by the so-called weighted ordered weighted averaging operator with the input parameters expressed as probability distributions over a linguistic term set. Moreover, a probability based method is proposed to measure the consensus degree between individual and collective overall random preferences based on the concept of stochastic dominance, which also takes both the importance weights and the fuzzy majority into account As such, our proposed approaches are based on the ordinal semantics of linguistic terms and voting statistics. By this, on one hand, the strict constraint of the uniform linguistic term set in linguistic decision making can be released; on the other hand, the difference and variation of individual opinions can be captured. The proposed approaches can deal with qualitative MAGDM with single linguistic terms and flexible linguistic expressions. Two application examples taken from the literature are used to illuminate the proposed techniques by comparisons with existing studies. The results show that our proposed approaches are comparable with existing studies. (C) 2016 Elsevier Ltd. All rights reserved.