A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle …

M Zhou, YQ Zheng, YW Chen, BY Cheng… - Information …, 2023 - Elsevier
Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …

Consensus convergence in large-group social network environment: Coordination between trust relationship and opinion similarity

Z Du, S Yu, H Luo, X Lin - Knowledge-Based Systems, 2021 - Elsevier
Group decision-making (GDM) in large-group social network environment (LGSNE) has
attracted considerable attention in the field of decision science. Social relationships exist …

A trust-similarity analysis-based clustering method for large-scale group decision-making under a social network

Z Du, H Luo, X Lin, S Yu - Information Fusion, 2020 - Elsevier
Large-scale group decision-making (LSGDM) under a social network context has attracted
much attention in the field of decision science. The clustering of individual opinions and the …

A weight penalty mechanism for non-cooperative behavior in large-scale group decision making with unbalanced linguistic term sets

Q Sun, F Chiclana, J Wu, Y Liu, C Liang… - … on fuzzy systems, 2023 - ieeexplore.ieee.org
This article proposes a novel framework to manage subgroups' noncooperative behavior by
weight penalty in large-scale group decision making. To do that, a trust-consensus index …

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 …

Trust Cop-Kmeans clustering analysis and minimum-cost consensus model considering voluntary trust loss in social network large-scale decision-making

SM Yu, ZJ Du, XY Zhang, HY Luo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Social network large-scale decision-making (SN-LSDM) has attracted much attention in the
field of decision science. Clustering and consensus building are two important processes for …

A dynamic hybrid trust network-based dual-path feedback consensus model for multi-attribute group decision-making in intuitionistic fuzzy environment

B Liu, S Jiao, Y Shen, Y Chen, G Wu, S Chen - Information Fusion, 2022 - Elsevier
This paper proposes a dual-path feedback consensus model based on dynamic hybrid trust
relationships to solve multi-attribute group decision-making problems in intuitionistic fuzzy …

How to process local and global consensus? A large-scale group decision making model based on social network analysis with probabilistic linguistic information

H Liao, X Li, M Tang - Information Sciences, 2021 - Elsevier
With the rapid development of societal and technological paradigms, large-scale group
decision making becomes an emerging topic. In conventional group decision making …

Two-fold personalized feedback mechanism for social network consensus by uninorm interval trust propagation

J Wu, S Wang, F Chiclana… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A two-fold personalized feedback mechanism is established for consensus reaching in
social network group decision-making (SN-GDM). It consists of two stages: 1) generating the …

A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making

Y Xing, J Wu, F Chiclana, G Yu, M Cao… - Information …, 2023 - Elsevier
A bargaining game is used to develop feedback mechanism for dynamic social networks
group decision making (SN-GDM). The dynamic trust relationships between experts are …