Paper Info
Title
A Gmcdm Approach With Linguistic Z-Numbers Based On Topsis And Choquet Integral Considering Risk Preference
Abstract
Group multi-criteria decision-making (GMCDM) is an important part of decision theory, which is aimed to assess alternatives according to multiple criteria by collecting the wisdom of experts. However, in the process of evaluating, because of the limitation of human knowledge and the complexity of problems, an efficient GMCDM approach under uncertain environment still need to be further explored. Thus, in this paper, a novelGMCDMapproach with linguistic Z-numbers based on TOPSIS and Choquet integral is proposed. Firstly, since linguistic Z-numbers performs better in coping with uncertain information, it is used to express the evaluation information. Secondly, TOPSIS, one of the most useful and systematic multi-criteria decision-making (MCDM) method, is adopted as the framework of the proposed approach. Thirdly, frequently it exists interaction between criteria, so Choquet integral is introduced to capture this kind of influence. What's more, viewing that decision makers (DMs) show different preferences for uncertainty, the risk preference is regarded as a vital parameter when calculating the score of linguistic Z-numbers. An application in supplier selection is illustrated to demonstrate the effectiveness of the proposed approach. Finally, a further comparison and discussion of the proposed GMCDM method is given.
Year
DOI
Venue
2020
10.3233/JIFS-200318
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
Group multi-criteria decision-making, linguistic Z-numbers, Choquet integral, TOPSIS, risk preference
Journal
39
Issue
ISSN
Citations 
3
1064-1246
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Ran Tao110.69
Fuyuan Xiao220119.11