Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making

Consistency is an important issue in linguistic decision making with various consistency measures and consistency improving methods available in the literature. However, existing linguistic consistency studies omit the fact that words mean different things for different people, that is, decision mak...

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Published in:IEEE transactions on cybernetics 2022-10, Vol.52 (10), p.10052-10063
Main Authors: Li, Cong-Cong, Liang, Haiming, Dong, Yucheng, Chiclana, Francisco, Herrera-Viedma, Enrique
Format: Article
Language:English
Subjects:
Additives
Computational modeling
Consistency
Customization
Decision making
group decision making (GDM)
Iterative methods
linguistic preference relation
Linguistics
Numerical models
personalized individual semantics (PISs)
Semantics
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cited_by cdi_FETCH-LOGICAL-c369t-ca225f04d3068bf61066f0eec6da95d5ecd87b71348c9b788b92a03b096263323
cites cdi_FETCH-LOGICAL-c369t-ca225f04d3068bf61066f0eec6da95d5ecd87b71348c9b788b92a03b096263323
container_end_page 10063
container_issue 10
container_start_page 10052
container_title IEEE transactions on cybernetics
container_volume 52
creator Li, Cong-Cong
Liang, Haiming
Dong, Yucheng
Chiclana, Francisco
Herrera-Viedma, Enrique
description Consistency is an important issue in linguistic decision making with various consistency measures and consistency improving methods available in the literature. However, existing linguistic consistency studies omit the fact that words mean different things for different people, that is, decision makers' personalized individual semantics (PISs) over their expressed linguistic preferences are ignored. Therefore, the aim of this article is to propose a novel consistency improving approach based on PISs in linguistic group decision making. The proposed approach combines the characteristics of personalized representation and integrates the PIS-based model in measuring and improving the consistency of linguistic preference relations. A detailed numerical and comparative analysis to support the feasibility of the proposed approach is provided.
doi_str_mv 10.1109/TCYB.2021.3085760
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subjects Additives
Computational modeling
Consistency
Customization
Decision making
group decision making (GDM)
Iterative methods
linguistic preference relation
Linguistics
Numerical models
personalized individual semantics (PISs)
Semantics
title Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making
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