A Consensus Method for Large-Scale Group Decision-Making Based on Behavior Management under Social Network Environments
A behavior management based consensus method for large-scale group decision-making is proposed to address potential non-cooperative behaviors,strategic manipulation behaviors,and delegation behaviors that may occur during the consensus reaching process of large-scale group decision-making under social network environments.Firstly,the directed Louvain method in social network analysis is introduced to divide decision-makers into subgroups within overlapping communities based on the directed social network,based on which subgroup members and subgroups are weighted based on social relationships and preference similarity.Subsequently,during the process of consensus reaching,by introducing the non-cooperative behavior identifica-tion and management methods based on the uninorm operator,identification and management mechanisms are designed for strategic manipulation behaviors based on the types of behaviors and social network analysis.A social relationship based management mechanism is also proposed for delegation behaviors,after which the consensus method for large-scale group decision-making based on behavior management is completed.Finally,a numerical example,simulation experiments and comparative analysis are conducted to verify the feasibility and effectiveness of the proposed method.
social network analysislarge-scale group decision-makingconsensus reachingbehavior manage-ment
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