Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics

Date

2021-04

Advisors

Journal Title

Journal ISSN

ISSN

2168-2267

Volume Title

Publisher

IEEEXplore

Type

Article

Peer reviewed

Yes

Abstract

In linguistic decision making problems there may be cased when decision makers will not be able to provide complete linguistic preference relations. However, when estimating unknown linguistic preference values in incomplete preference relations, the existing research approaches ignore the fact that words mean different things for different people, i.e. decision makers have personalized individual semantics (PISs) regarding words. To manage incomplete linguistic preference relations with PISs, in this paper we propose a consistency-driven methodology both to estimate the incomplete linguistic preference values and to obtain the personalized numerical meanings of linguistic values of the different decision makers. The proposed incomplete linguistic preference estimation method combines the characteristic of the personalized representation of decision makers and guarantees the optimum consistency of incomplete linguistic preference relations in the implementation process. Numerical examples and a comparative analysis are included to justify the feasibility of the PISs based incomplete linguistic preference estimation method.

Description

The file attached to this record is the author's final peer reviewed version.

Keywords

Personalized individual semantics, incomplete linguistic preference relation, consistency, linguistic decision making

Citation

Li, C-C., Dong, Y., Chiclana, F., Herrera-Viedma, E. (2021) Consistency-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics. IEEE Transactions on Cybernetics.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)