Personalized individual semantics-based consistency control and consensus reaching in linguistic group decision making

Z Zhang, Z Li - IEEE Transactions on Systems, Man, and …, 2021 - ieeexplore.ieee.org
Consistency and consensus are important issues for linguistic group decision making
(GDM), which have been extensively studied by scholars. Nevertheless, most of previous …

Integrating continual personalized individual semantics learning in consensus reaching in linguistic group decision making

CC Li, Y Dong, W Pedrycz… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In computing with words, it has been stressed that words mean different things for different
people, which entails that decision makers (DMs) have personalized individual semantics …

Consensus reaching with non-cooperative behavior management for personalized individual semantics-based social network group decision making

Y Gao, Z Zhang - Journal of the Operational Research Society, 2021 - Taylor & Francis
Leveraging social network trust relationships among experts to reach consensus has
become a popular topic in linguistic group decision making (GDM). However, in linguistic …

Flexible linguistic expressions and consensus reaching with accurate constraints in group decision-making

Y Wu, Y Dong, J Qin, W Pedrycz - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Various linguistic expressions have been presented to model the flexibility of linguistic
preference expressions and to support the consensus reaching in linguistic group decision …

A consensus model for large-scale linguistic group decision making with a feedback recommendation based on clustered personalized individual semantics and …

CC Li, Y Dong, F Herrera - IEEE Transactions on Fuzzy …, 2018 - ieeexplore.ieee.org
In linguistic large-scale group decision making (LSGDM), it is often necessary to achieve a
consensus. Particularly, when computing with words and linguistic decision, we must keep …

Consistency and consensus-driven models to personalize individual semantics of linguistic terms for supporting group decision making with distribution linguistic …

X Tang, Z Peng, Q Zhang, W Pedrycz, S Yang - Knowledge-Based Systems, 2020 - Elsevier
Distribution linguistic preference relations (DLPRs) that model linguistic expressions with the
aid of probabilistic distributions of multiple linguistic terms provide an effective tool to …

Unit consensus cost-based approach for group decision-making with incomplete probabilistic linguistic preference relations

P Liu, R Dang, P Wang, X Wu - Information Sciences, 2023 - Elsevier
In group decision-making, the incomplete probabilistic linguistic preference relation
(InPLPR) has been widely studied because it can flexibly reflect the decision psychology of …

Modeling personalized individual semantics and consensus in comparative linguistic expression preference relations with self-confidence: An optimization-based …

H Zhang, CC Li, Y Liu, Y Dong - IEEE Transactions on Fuzzy …, 2019 - ieeexplore.ieee.org
Comparative linguistic expression preference relations (CLEPRs) are an effective tool to
represent uncertain opinions of decision makers in group decision making (GDM) …

Managing personalized individual semantics and consensus in linguistic distribution large-scale group decision making

J Xiao, X Wang, H Zhang - Information Fusion, 2020 - Elsevier
A linguistic distribution assessment is an effective approach to represent uncertain
preferences in large-scale group decision making (LSGDM). The same word often signifies …

A self-confidence and leadership based feedback mechanism for consensus of group decision making with probabilistic linguistic preference relation

X You, F Hou - Information Sciences, 2022 - Elsevier
There are usually multiple stakeholders involved in a group decision-making (GDM)
problem. The probabilistic linguistic preference relation (PLPR) is an effective tool to …