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Research on Comprehensive Evaluation Model of Metal Mine Emergency Rescue System Based on Game Theory and Regret Theory

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  • Houdong Liu

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
    School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Qian Kang

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Yi Zou

    (Zijin Mining Group Co., Ltd., Xiamen 572000, China)

  • Songtao Yu

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Yuxian Ke

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

  • Pin Peng

    (School of Emergency Management and Safety Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China)

Abstract

In view of the complexity, vagueness, and systematization of metal mine emergency rescue system evaluation, regret theory was introduced, and a comprehensive evaluation model of the metal mine emergency rescue system was established. Firstly, from four perspectives, including pre-emergency prevention, pre-emergency preparation, emergency rescue during an event, and post-disaster recovery and reconstruction, 26 influencing factors were selected to build a comprehensive evaluation index system of metal mine emergency rescue systems. Secondly, the G1 method and the anti-entropy weight method were used to determine the subjective weight and objective weight of the evaluation indicators, respectively, and the comprehensive weight of the indicator was determined based on game theory. The final evaluation level was determined by calculating the total evaluation value of the object to be evaluated. Finally, the established comprehensive evaluation model of a metal mine emergency rescue system based on game theory and regret theory was applied to Chengchao Iron Mine in Ezhou City, Hubei Province, and the evaluation results of this model were compared with those of fuzzy comprehensive evaluation and set pair analysis. The results showed that the calculation results of the evaluation model are reasonable and reliable, which can provide a new means of evaluating emergency rescue systems in metal mines.

Suggested Citation

  • Houdong Liu & Qian Kang & Yi Zou & Songtao Yu & Yuxian Ke & Pin Peng, 2023. "Research on Comprehensive Evaluation Model of Metal Mine Emergency Rescue System Based on Game Theory and Regret Theory," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:14:p:10879-:d:1191675
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    References listed on IDEAS

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    1. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    2. Wanyu Wang & Haochen Li & Xueliang Hou & Qian Zhang & Songfeng Tian, 2021. "Multi-Criteria Evaluation of Distributed Energy System Based on Order Relation-Anti-Entropy Weight Method," Energies, MDPI, vol. 14(1), pages 1-16, January.
    3. Changping Zhao & Maliyamu Sadula & Xiangmeng Huang & Yali Yang & Yu Gong & Shuai Yang, 2022. "The Game Model of Blue Carbon Collaboration along MSR—From the Regret Theory Perspective," Mathematics, MDPI, vol. 10(6), pages 1-15, March.
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