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Using Fuzzy Comprehensive Evaluation to Assess the Competency of Full-Time Water Conservancy Emergency Rescue Teams

Author

Listed:
  • Chuanhao Fan

    (Business School, Hohai University, Nanjing 210098, China)

  • Yan Chen

    (Business School, Hohai University, Nanjing 210098, China)

  • Yan Zhu

    (Business School, Hohai University, Nanjing 210098, China)

  • Long Zhang

    (School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)

  • Wenjuan Wu

    (College of Liberal Arts, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Bin Ling

    (Business School, Hohai University, Nanjing 210098, China)

  • Sijie Tang

    (Business School, Hohai University, Nanjing 210098, China)

Abstract

Drought and flood disasters are common events threatening the safety of human lives, and full-time water conservancy emergency rescue teams play an important role in fighting against these disasters. In this paper, a competency assessment indicator system full-time water conservancy emergency rescue teams was first constructed by the Delphi Method. Four first-level, seventeen second-level and sixty third-level competency assessment indicators are proposed. Secondly, the weights of assessment indicators for a full-time water conservancy emergency rescue team at all levels were obtained by an analytic hierarchy process. Thirdly, based on that established assessment indicator system, the competency of the water conservancy emergency rescue team in Province A was assessed using a fuzzy comprehensive evaluation. Finally, the assessment results for the full-time water conservancy emergency rescue team in Province A were obtained. This study concludes by noting some practical implications of the results.

Suggested Citation

  • Chuanhao Fan & Yan Chen & Yan Zhu & Long Zhang & Wenjuan Wu & Bin Ling & Sijie Tang, 2022. "Using Fuzzy Comprehensive Evaluation to Assess the Competency of Full-Time Water Conservancy Emergency Rescue Teams," Mathematics, MDPI, vol. 10(12), pages 1-25, June.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:12:p:2111-:d:841483
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    References listed on IDEAS

    as
    1. Zhang, Hengjie & Dong, Yucheng & Xiao, Jing & Chiclana, Francisco & Herrera-Viedma, Enrique, 2021. "Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    2. Ting Kuo & Ming-Hui Chen, 2022. "On Indeterminacy of Interval Multiplicative Pairwise Comparison Matrix," Mathematics, MDPI, vol. 10(4), pages 1-18, February.
    3. Amenta, Pietro & Lucadamo, Antonio & Marcarelli, Gabriella, 2021. "On the choice of weights for aggregating judgments in non-negotiable AHP group decision making," European Journal of Operational Research, Elsevier, vol. 288(1), pages 294-301.
    4. Sperling, Martina & Schryen, Guido, 2022. "Decision support for disaster relief: Coordinating spontaneous volunteers," European Journal of Operational Research, Elsevier, vol. 299(2), pages 690-705.
    5. Xuesen Zhang & Shanshan Li & Xiaoheng Zhang, 2021. "RETRACTED ARTICLE: Evaluation of emergency rescue ability based on RS-IPA: evidence from coal mining firms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 1915-1929, April.
    6. Alfredo Altuzarra & Pilar Gargallo & José María Moreno-Jiménez & Manuel Salvador, 2022. "Identification of Homogeneous Groups of Actors in a Local AHP-Multiactor Context with a High Number of Decision-Makers: A Bayesian Stochastic Search," Mathematics, MDPI, vol. 10(3), pages 1-20, February.
    7. Hengjie Zhang & Yucheng Dong & Jing Xiao & Francisco Chiclana & Enrique Herrera-Viedma, 2020. "Personalized individual semantics-based approach for linguistic failure modes and effects analysis with incomplete preference information," IISE Transactions, Taylor & Francis Journals, vol. 52(11), pages 1275-1296, November.
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