This book focuses on the following three key topics in social network large-scale decision-making: structure-heterogeneous information fusion, clustering analysis with multiple measurement attributes, and consensus building considering trust loss. To address the aggregation and distance measurement of structure-heterogeneous evaluation information, we propose a fusion method based on trust and behavior analysis. Then, two clustering algorithms are put forward, including trust Cop-K-means c...

This book explores clustering operations in the context of social networks and consensus-reaching paths that take into account non-cooperative behaviors. This book focuses on the two key issues in large-scale group decision-making: clustering and consensus building. Clustering aims to reduce the dimension of a large group. Consensus reaching requires that the divergent individual opinions of the decision makers converge to the group opinion.This book emphasizes the similarity of op...

This book explores the latest theories, methods, and applications of consensus modeling. It proposes a variety of consensus modeling methods for different decision-making contexts, including conflict risk mitigation in group decision-making, integration with the failure mode and effects analysis technique, consideration of over-adjustment and flexible consensus, social network large-group decision-making environments involving multiple consensus costs, and multi-agent collaborative decisio...