Consistency improvement with a feedback recommendation in personalized linguistic group decision making

Date

2021-06-30

Advisors

Journal Title

Journal ISSN

ISSN

2168-2267

Volume Title

Publisher

IEEEXplore

Type

Article

Peer reviewed

Yes

Abstract

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.

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords

Linguistics, Numerical models, Decision making, Computational modeling, Additives, Semantics

Citation

Li, C-C., Liang, H., Dong, Y., Chiclana, F., Herrera-Viedma, E. (2021) Consistency improvement with a feedback recommendation in personalized linguistic group decision making. IEEE Transactions on Cybernetics.

Rights

Research Institute