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An Extended Multi-Attributive Border Approximation Area Comparison Method for Emergency Decision Making with Complex Linguistic Information

Author

Listed:
  • Hua Shi

    (School of Materials, Shanghai Dianji University, Shanghai 201306, China)

  • Lin Huang

    (School of Management, Shanghai University, Shanghai 200444, China)

  • Ke Li

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Xiang-Hu Wang

    (School of Materials, Shanghai Dianji University, Shanghai 201306, China)

  • Hu-Chen Liu

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

Abstract

In recent years, different types of emergency events have taken place frequently around the world. Emergencies need to be addressed in the shortest possible time since inappropriate or delayed decisions may result in severe secondary disasters and economic losses. To make emergency decisions effectively within a limited time, a new emergency decision-making model is proposed in this study based on double hierarchy hesitant linguistic term sets (DHHLTSs) and the multi-attributive border approximation area comparison (MABAC) method. First, the performance assessment information on emergency solutions provided by domain experts is represented by the DHHLTSs, which are very useful for managing complex linguistic expressions in a prominent manner. Then, we make an extension of the MABAC method to determine the priority of alternative solutions and find out the optimal one for an emergency event. Furthermore, the criteria weights for emergency decision making are determined objectively with a maximum comprehensive method. Finally, a practical public health example is provided and a comparative analysis is performed to illustrate the applicability and advantages of the proposed emergency decision-making model.

Suggested Citation

  • Hua Shi & Lin Huang & Ke Li & Xiang-Hu Wang & Hu-Chen Liu, 2022. "An Extended Multi-Attributive Border Approximation Area Comparison Method for Emergency Decision Making with Complex Linguistic Information," Mathematics, MDPI, vol. 10(19), pages 1-16, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:19:p:3437-:d:921250
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    References listed on IDEAS

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    1. Chiang, Jershan, 2001. "Fuzzy linear programming based on statistical confidence interval and interval-valued fuzzy set," European Journal of Operational Research, Elsevier, vol. 129(1), pages 65-86, February.
    2. Liu, Hu-Chen & You, Jian-Xin & Duan, Chun-Yan, 2019. "An integrated approach for failure mode and effect analysis under interval-valued intuitionistic fuzzy environment," International Journal of Production Economics, Elsevier, vol. 207(C), pages 163-172.
    3. Abdolhamid Safaei Ghadikolaei & Sahar Valipour Parkouhi & Davood Darvishi Saloukolaei, 2022. "Extension of a Hybrid MABAC–DANP Method Under Gray Environment for Green Supplier Selection," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 21(02), pages 755-788, March.
    4. Xunjie Gou & Zeshui Xu & Huchang Liao & Francisco Herrera, 2021. "Probabilistic double hierarchy linguistic term set and its use in designing an improved VIKOR method: The application in smart healthcare," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(12), pages 2611-2630, December.
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