Consensus-based non-cooperative behaviors management in large-group emergency decision-making considering experts' trust relations and preference risks

Consensus-based large-group emergency decision-making (LGEDM) is a dynamic and iterative process, in which some experts may show non-cooperative behaviors because they have different knowledge backgrounds and represent different stakeholders. Non-cooperative behaviors greatly affect the efficiency and results of decision-making. Time is of the essence in an emergency situation, and thus rational treatment of non-cooperative behaviors is required. In addition, in traditional group decision-making (GDM), the decision model is based on the premise that decision makers are independent. However, with the development of online social networks, the objective trust relationships between experts should be considered. Hence, this paper proposes a consensus model that considers the experts trust relations based on social network analysis and preference risks based on interval-valued intuitionistic fuzzy numbers. The trust risk, preference risk, and an approach for analyzing and managing non-cooperative behaviors are proposed. An illustrative example and a comparison are provided to verify the feasibility and effectiveness of the proposed method. (C) 2019 Elsevier B.V. All rights reserved.