Title
A new decision support model in multi-criteria decision making with intuitionistic fuzzy sets based on risk preferences and criteria reduction.
Abstract
In this paper, we propose a new model for decision support to address the 'large decision table' (eg, many criteria) challenge in intuitionistic fuzzy sets (IFSs) multi-criteria decision-making (MCDM) problems. This new model involves risk preferences of decision makers (DMs) based on the prospect theory and criteria reduction. First, we build three relationship models based on different types of DMs' risk preferences. By building different discernibility matrices according to relationship models, we find useful criteria for IFS MCDM problems. Second, we propose a technique to obtain weights through discernibility matrix. Third, we also propose a new method to rank and select the most desirable choice(s) according to weighted combinatorial advantage values of alternatives. Finally, we use a realistic voting example to demonstrate the practicality and effectiveness of the proposed method and construct a new decision support model for IFS MCDM problems. © 2013 Operational Research Society Ltd.
Year
DOI
Venue
2013
10.1057/jors.2012.180
JORS
Keywords
Field
DocType
criteria reduction,decision support,intuitionistic fuzzy sets,multi-criteria decision making,risk preferences
Weighted product model,Decision table,Multiple-criteria decision analysis,Voting,Computer science,Decision support system,Prospect theory,Fuzzy set,Weighted sum model,Management science
Journal
Volume
Issue
ISSN
64
8
14769360
Citations 
PageRank 
References 
4
0.38
34
Authors
5
Name
Order
Citations
PageRank
Jian Liu160.82
Liu Sifeng2457111.66
Peng Liu340.72
Xianzhong Zhou443927.01
Bin Zhao5144.71