Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making
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ConsistencyGroup decision making (GDM)Linguistic preference relationPersonalized individual semantics (PISs)
Published version: C.-C. Li... [et al.]. "Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making," in IEEE Transactions on Cybernetics, doi: [10.1109/TCYB.2021.3085760]
SponsorshipNational Natural Science Foundation of China (NSFC) 71901182 71601133 71871149; Sichuan University sksyl201705 YJ201906; Southwest Jiaotong University YJSY-DSTD201918; China Postdoctoral Science Foundation 2020M673283 2682021ZTPY073; Spanish Government PID2019-103880RB-I00
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.