Abstract
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.
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Acknowledgements
Thanks to the reviewers and editors for their constructive comments. Thanks to Dr. Du for providing original data for method comparison. This work was supported by grants from the National Natural Science Foundation of China (71971217,71671189), the Key Project of Natural Science Foundation of China (71790615, 91846301), the Independent Exploration of Innovation Project for Postgraduate of Central South University (2019zzts843).
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Wan, Q., Xu, X., Chen, X. et al. A Two-Stage Optimization Model for Large-Scale Group Decision-Making in Disaster Management: Minimizing Group Conflict and Maximizing Individual Satisfaction. Group Decis Negot 29, 901–921 (2020). https://doi.org/10.1007/s10726-020-09684-0
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DOI: https://doi.org/10.1007/s10726-020-09684-0