Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making Li, Cong-Cong Chiclana Parrilla, Francisco Herrera Viedma, Enrique Consistency Group decision making (GDM) Linguistic preference relation Personalized individual semantics (PISs) This work was supported in part by the NSF of China under Grant 71901182, Grant 71601133, and Grant 71871149; in part by Sichuan University under Grant sksyl201705 and Grant YJ201906; in part by Southwest Jiaotong University under Grant YJSY-DSTD201918; in part by the China Postdoctoral Science Foundation under Grant 2020M673283 and Grant 2682021ZTPY073; and in part by the Spanish State Research Agency under Project PID2019-103880RB-I00/AEI/10.13039/501100011033. 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. 2022-01-24T09:58:01Z 2022-01-24T09:58:01Z 2021-05-26 info:eu-repo/semantics/article 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] http://hdl.handle.net/10481/72452 10.1109/TCYB.2021.3085760 eng http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess Atribución-NoComercial-SinDerivadas 3.0 España IEEE