A large-scale group decision-making method based on improved affinity propagation algorithm and adjustable minimum-cost consensus model in social networks

MK Zhao, J Guo, ZS Xu, XH Wu - Computers & Industrial Engineering, 2024 - Elsevier
The rapid development of information technology has made social network large-scale
group decision-making (SN-LSGDM) a focus of the field of decision science. Clustering and …

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 …

Large Group Decision-Making Method Based on Social Network Analysis: Integrating Evaluation Information and Trust Relationships

X Zhong, X Xu, M Goh, B Pan - Cognitive Computation, 2024 - Springer
In the context of large group decision-making (LGDM), the opinions of individuals can
influence each other due to their trust relationships. So, trust relationships should be …

A two-stage consensus model for large-scale group decision-making considering dynamic social networks

L Li, S Jiao, Y Shen, B Liu, W Pedrycz, Y Chen, X Tang - Information Fusion, 2023 - Elsevier
Clustering and the feedback mechanism in a consensus reaching process (CRP) have been
regarded as two critical components when solving the large-scale group decision-making …

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 two-stage social trust network partition model for large-scale group decision-making problems

T Wu, K Zhang, X Liu, C Cao - Knowledge-Based Systems, 2019 - Elsevier
With the development of big data and social computing, large-scale group decision making
(LGDM) problems attract much attention and become merging with social networks or …

Punishment-driven consensus reaching model in social network large-scale decision-making with application to social capital selection

S Yu, Z Du, X Zhang, H Luo, X Lin - Applied Soft Computing, 2021 - Elsevier
Clustering and consensus reaching are two crucial processes for solving social network
large-scale decision-making (SN-LSDM) problems. This paper explores the moderating …

[PDF][PDF] A Large-Scale Group Decision Making Model Based on Trust Relationship and Social Network Updating.

R Ren, L Su, X Meng, J Wang… - … -Computer Modeling in …, 2024 - cdn.techscience.cn
With the development of big data and social computing, large-scale group decision making
(LGDM) is now merging with social networks. Using social network analysis (SNA), this …

[HTML][HTML] Social network analysis and consensus reaching process-driven group decision making method with distributed linguistic information

F Jin, Y Yang, J Liu, J Zhu - Complex & Intelligent Systems, 2023 - Springer
In group decision making with social network analysis (SNA), determining the weights of
experts and constructing the consensus-reaching process (CRP) are hot topics. With respect …

Two-stage consensus reaching process in social network large group decision-making with application to battery supplier selection

SP Wan, JY Dong, ZH Zhang - Information Sciences, 2024 - Elsevier
Trust relationships play an important role in social network large group decision making (SN-
LGDM). Extant studies overlook the self-adjustment stage of decision makers (DMs) and the …