Managing Ignorance Elements and Personalized Individual Semantics Under Incomplete Linguistic Distribution Context in Group Decision Making

Linguistic distribution expressions provide a flexible way for decision makers to express their opinions in linguistic decision making. When working with a linguistic distribution, words mean different things for different people, i.e., decision makers have personalized individual semantics (PISs) r...

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Bibliographic Details
Published in:Group decision and negotiation 2021-02, Vol.30 (1), p.97-118
Main Authors: Li, Cong-Cong, Gao, Yuan, Dong, Yucheng
Format: Article
Language:English
Subjects:
Biological and Physical Anthropology
Business and Management
Customization
Decision makers
Decision making
Group decision making
Ignorance
Linguistics
Semantics
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Summary:Linguistic distribution expressions provide a flexible way for decision makers to express their opinions in linguistic decision making. When working with a linguistic distribution, words mean different things for different people, i.e., decision makers have personalized individual semantics (PISs) regarding words. Therefore, in this paper, we propose a consistency-driven methodology to manage distribution linguistic preference relations (DLPRs) with PISs. This methodology can not only estimate the ignorance elements in incomplete DLPRs but also obtain the personalized numerical meanings of linguistic expressions to decision makers. In this way, we can combine the characteristics of the personalized representation in linguistic decision making and guarantee the optimum consistency of incomplete DLPRs with ignorance elements. Detailed numerical and comparison analyses have been proposed to justify our proposal.
ISSN:0926-2644
1572-9907
DOI:10.1007/s10726-020-09708-9