Journal
KNOWLEDGE-BASED SYSTEMS
Volume 145, Issue -, Pages 156-165Publisher
ELSEVIER
DOI: 10.1016/j.knosys.2018.01.011
Keywords
Group decision making; Hesitant fuzzy linguistic term set; Comparative linguistic expressions; Personalized individual semantics; Numerical scale
Categories
Funding
- NSF of China [71571124]
- Spanish National research project [TIN2015-66524-P]
- Spanish Ministry of Economy and Finance [IJCI-2015-23715]
- ERDF
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In decision making problems, decision makers may prefer to use more flexible linguistic expressions instead of using only one linguistic term to express their preferences. The recent proposals of hesitant fuzzy linguistic terms sets (HFLTSs) are developed to support the elicitation of comparative linguistic expressions in hesitant decision situations. In group decision making (GDM), the statement that words mean different things for different people has been highlighted and it is natural that a word should be defined by individual semantics described by different numerical values. Considering this statement in hesitant linguistic decision making, the aim of this paper is to personalize individual semantics in the hesitant GDM with comparative linguistic expressions to show the individual difference in understanding the meaning of words. In our study, the personalized individual semantics are carried out by the fuzzy envelopes of HFLTSs based on the personalized numerical scales of linguistic term set. (C) 2018 Elsevier B.V. All rights reserved.
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