Learning personalized individual semantics through the data of distributed linguistic preference relations: A two-stage method to support linguistic consensus reaching

Y Gao, S Fan, Z Hu, CC Li, Y Dong - Computers & Industrial Engineering, 2022 - Elsevier
Distribution linguistic preference relation (DLPR) is an effective tool to model linguistic
preferences with multiple linguistic terms, and has widespread adoption in the linguistic …

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 …

Managing missing preference values through consistency and consensus in distributed linguistic preference relations: a two-stage method based on personalized …

CC Li, Y Gao, Y Dong - Group Decision and Negotiation, 2023 - Springer
Linguistic distribution, as a flexible representation structure, is often used in linguistic
decision-making. Several approaches have been proposed for managing the missing …

Managing ignorance elements and personalized individual semantics under incomplete linguistic distribution context in group decision making

CC Li, Y Gao, Y Dong - Group Decision and Negotiation, 2021 - Springer
Linguistic distribution expressions provide a flexible way for decision makers to express their
opinions in linguistic decision making. When working with a linguistic distribution, words …

Consistency improvement under a personalized individual semantics context in distributed linguistic group decision making

Y Gao, Y Li, Z Hu, CC Li - Information Fusion, 2022 - Elsevier
Consistency measurement is a significant issue in linguistic decision making when
preferences are expressed via linguistic preference relations. However, the extant literatures …

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 …

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 …

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 …

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-driven methodology to manage incomplete linguistic preference relation: A perspective based on personalized individual semantics

CC Li, Y Dong, F Chiclana… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In linguistic decision-making problems, there may be cases when decision makers will not
be able to provide complete linguistic preference relations. However, when estimating …