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...

Full description

Saved in:
Bibliographic Details
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2168-2267
2168-2275
DOI:10.1109/TCYB.2021.3085760