A Two-Stage Optimization Model for Large-Scale Group Decision-Making in Disaster Management: Minimizing Group Conflict and Maximizing Individual Satisfaction

As for large-scale group decision-making (LSGDM) in disaster management, the number of decision makers is so large-scale that decision-making is time consuming, but sometimes disaster management is urgent for time. Inspired by multiplayer game theories, this paper proposes a two-stage optimization model that maximizes individual satisfaction at the first stage and minimizes group conflict at the second stage. Furthermore, the introduction of public social media data to determine decision criteria and weights greatly improves the objectivity of decision-making. The proposed method effectively saves the decision time while ensuring the quality of LSGDM. The case study verifies the feasibility of the method.