A Transformation Method of Noncooperative to Cooperative Behavior by Trust Propagation in Social Network Group Decision Making

Abstract

In the consensus reaching process (CRP) of social network group decision making, the noncooperative behavior exhibited by experts will hinder the achievement of group consensus. This article develops a noncooperative behavior management framework based on trust propagation and dynamic cooperation index under bidirectional feedback context. On the one hand, a trust propagation operator with trust decay is established to enhance the trust relationship between noncooperative experts. On the other hand, the fuzzy preference relations are utilized as preference expression structure, and the mutual reinforcing effect between consensus and trust is explored to achieve the dynamic enhancement of cooperation index, thereby facilitating the transformation of nonscooperative behavior. Specifically, a cooperation index is formulated to identify the noncooperation behavior. Subsequently, a noncooperative behavior transformation method by dynamic cooperation index is investigated. Finally, a bidirectional feedback mechanism is provided for group consensus reaching. This paper provides an innovative strategy for detecting and managing noncooperative behavior, an illustrative example and some analyses are presented to verify the validity of proposed method.