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

Abstract In group decision making with social network analysis (SNA), determining the weights of experts and constructing consensus-reaching process (CRP) are hot topics. With respect to generation experts, this paper firstly develops a distributed linguistic trust propagation operator path order weighted averaging (POWA) explore aggregation between indirectly connected can be derived by using relative node in-degree centrality in complete relationship matrix. Then, three levels consensus proposed, which most inconsistent evaluation information decision-making matrices pinpointed. Subsequently, distance experts’ collective is designed applied as adjustment cost CRP. Finally, novel feedback mechanism supported minimum activated until degree reaches predefined threshold. The novelties follows: (1) proposed POWA considers value well efficiency when aggregating SNA; (2) reaching gradually improve continuously adjusting information.