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 …

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 …

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 …

Personalized individual semantics based consensus reaching process for large-scale group decision making with probabilistic linguistic preference relations and …

SP Wan, J Yan, JY Dong - Expert Systems with Applications, 2022 - Elsevier
This paper develops a new personalized individual semantic (PIS) based consensus
reaching process (CRP) for large-scale group decision making (LSGDM) with probabilistic …

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) …

[HTML][HTML] Consensus-based linguistic distribution large-scale group decision making using statistical inference and regret theory

F Jin, J Liu, L Zhou, L Martínez - Group Decision and Negotiation, 2021 - Springer
Large-scale group decision-making (LSGDM) deals with complex decision-making
problems which involve a large number of decision makers (DMs). Such a complex scenario …

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 …

Consensus model handling minority opinions and noncooperative behaviors in large-scale group decision-making under double hierarchy linguistic preference …

X Gou, Z Xu, H Liao, F Herrera - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of society and continual progress of science and technology,
large-scale group decision-making (LSGDM) problems are very commonly encountered in …

The optimization-based aggregation and consensus with minimum-cost in group decision making under incomplete linguistic distribution context

B Zhang, H Liang, Y Gao, G Zhang - Knowledge-Based Systems, 2018 - Elsevier
In real decision making, due to the limitation of knowledge, problem complexity and time
pressure, it is natural that decision makers express their opinions with incomplete linguistic …