Research on Consensus of Social Network Group Decision Making Considering Experts'Trust Risk Behaviors Mining and Dynamic Management
With the development of social network technology,trust relationships among experts bring new opportunities and challenges to the consensus research of group decision making.Due to the inherent risk of trust,experts may be blindly trusted or lack due trust in decision-making process,which will cause risk issues affecting decision and make it more difficult to reach a scientific and reliable consensus.Therefore,based on experts'behavior mining,the trust risk in social network group decision making is linked with the scientificity and reliability of the decision result,and a consensus model is proposed for social network group decision mak-ing considering experts'trust risk behaviors mining and dynamic management to reduce the decision risk,improve the credibility of decision result and consensus efficiency.Firstly,based on social network and experts'credibility,the trust risk behaviors mining,measurement and dynamic management mechanism is designed.Secondly,the information aggregation driven by the comprehensive influence of experts,consensus measure and feedback adjustment mechanism are constructed.Finally,the maximum/minimum thresholds of experts'risk index and the threshold of group risk level are obtained by Monte Carlo simulation,the rationality and valid-ity of the proposed model are demonstrated,and it is applied to the cooperative research between automobile enterprises and laser display technology companies to assist actual decision-making and enrich the consensus research of social network group decision making.
social network analysisgroup decision makingtrust risk behaviorsMonte Carlo simulation
万方数据
维普
