@misc{10481/72452,
year = {2021},
month = {5},
url = {http://hdl.handle.net/10481/72452},
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.},
organization = {National Natural Science Foundation of China (NSFC)	71901182	
71601133	
71871149},
organization = {Sichuan University	sksyl201705	
YJ201906},
organization = {Southwest Jiaotong University	YJSY-DSTD201918},
organization = {China Postdoctoral Science Foundation	2020M673283	
2682021ZTPY073},
organization = {Spanish Government	PID2019-103880RB-I00},
publisher = {IEEE},
keywords = {Consistency},
keywords = {Group decision making (GDM)},
keywords = {Linguistic preference relation},
keywords = {Personalized individual semantics (PISs)},
title = {Consistency Improvement With a Feedback Recommendation in Personalized Linguistic Group Decision Making},
doi = {10.1109/TCYB.2021.3085760},
author = {Li, Cong-Cong and Chiclana Parrilla, Francisco and Herrera Viedma, Enrique},
}