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 …

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 reaching for social network group decision making by considering leadership and bounded confidence

Z Zhang, Y Gao, Z Li - Knowledge-Based Systems, 2020 - Elsevier
With the rapid development of information, communication and techniques, social network
group decision making problems which allow information exchange and communication …

Reaching a minimum adjustment consensus in social network group decision-making

D Cheng, F Cheng, Z Zhou, Y Wu - Information Fusion, 2020 - Elsevier
In this paper, we propose a minimum adjustment consensus framework for the social
network group decision-making (SN-GDM) with incomplete linguistic preference relations …

[HTML][HTML] Consensus reaching for social network group decision making with ELICIT information: A perspective from the complex network

Z Hua, X Jing, L Martínez - Information Sciences, 2023 - Elsevier
Consensus reaching is essential in group decision-making (GDM) since it can mitigate
conflicts between expert opinions and promotes the further implementation of decision …

Consensus reaching mechanism with parallel dynamic feedback strategy for large-scale group decision making under social network analysis

YJ Zhou, M Zhou, XB Liu, BY Cheng… - Computers & Industrial …, 2022 - Elsevier
With the scale of group decision making increasing, it is a crucial issue to get the utmost of
collective intelligence for seeking the optimal solution. In this study, we propose an …

Consistency and trust relationship-driven social network group decision-making method with probabilistic linguistic information

F Jin, M Cao, J Liu, L Martínez, H Chen - Applied Soft Computing, 2021 - Elsevier
Unlike other linguistic modelings, probabilistic linguistic terms can clearly describe the
importance of different linguistic terms. With respect to group decision-making (GDM) …

Social network group decision making: Managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback …

X Liu, Y Xu, R Montes, F Herrera - Information Sciences, 2019 - Elsevier
Due to the development of intelligent decision-making, social network group decision-
making (SNGDM) has become increasingly valued. Generally, real SNGDM cases involve …

A minimum adjustment consensus framework with compromise limits for social network group decision making under incomplete information

Y Yuan, D Cheng, Z Zhou - Information Sciences, 2021 - Elsevier
In consensus-based social network group decision making (SN-GDM) problems, experts
tend to refuse modifications if they exceed the limit of their maximum compromise, which …

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 …