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 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.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:52

Enthalten in:

IEEE transactions on cybernetics - 52(2022), 10 vom: 30. Okt., Seite 10052-10063

Sprache:

Englisch

Beteiligte Personen:

Li, Cong-Cong [VerfasserIn]
Liang, Haiming [VerfasserIn]
Dong, Yucheng [VerfasserIn]
Chiclana, Francisco [VerfasserIn]
Herrera-Viedma, Enrique [VerfasserIn]

Links:

Volltext

Themen:

Journal Article

Anmerkungen:

Date Completed 22.09.2022

Date Revised 22.09.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1109/TCYB.2021.3085760

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM327385634