Journal
TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY
Volume 24, Issue 3, Pages 1029-1040Publisher
VILNIUS GEDIMINAS TECH UNIV
DOI: 10.3846/20294913.2016.1266529
Keywords
group decision making; fuzzy sets; preference relation; simulation
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Funding
- National Natural Science Foundation of China [61503210, 71571123, 71771155]
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Probability interpretations play an important role in understanding decision makers' (DMs) behaviour in decision making. In this paper, we extend hesitant fuzzy sets to probability-hesitant fuzzy sets (P-HFSs) to enhance their modeling ability by taking DMs' probabilistic preferences into consideration. Based on P-HFSs, we propose the concept of probability-hesitant fuzzy preference relation (P-HFPR) to collect the preferences. We then develop a consensus index to measure the consensus degrees of P-HFPR, and a stochastic method to improve the consensus degrees. All these results are essential for further research on P-HFSs.
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