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Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions

TitlePersonalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions
Publication TypeInternational Journal
Year of Publication2018
AuthorsC-C. Li, R. M. Rodríguez, L. Martínez, Y. Dong and F. Herrera
JournalKnowledge-Based Systems
Volume145
Pagination156-165
Date Published2018
PublisherElsevier
ISSN Number0950-7051
Keywordsnumerical scale
Abstract

Abstract 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.

URLhttps://www.sciencedirect.com/science/article/pii/S095070511830011X
DOI10.1016/j.knosys.2018.01.011
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