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

• Published in: Knowledge-based systems 2020-02, Vol.190, p.105108, Article 105108
• Main Authors: Xu, Xuanhua, Zhang, Qianhui, Chen, Xiaohong
• Format: Article
• Language: English
• Subjects: Decision making; Emergency decision-making; Emergency management; Fuzzy sets; Iterative methods; Large group; Network analysis; Non-cooperative behaviors; Risk; Social network analysis; Social networks
• ISSN: 0950-7051; 1872-7409
• DOI: 10.1016/j.knosys.2019.105108

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. •A new consensus reaching framework based on SNA in LGEDM is proposed.•A novel mechanism for addressing non-cooperative behaviors is proposed.•The decision risk is considered, the trust risk and preference risk are proposed.