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Multi-criteria decision analysis for emergency medical service assessment

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  • Gang Kou
  • Wenshuai Wu

Abstract

In emergency management, it is important to arrange the medical resources according to emergency needs. This paper proposes a multi-criteria decision analysis model that combines grey theory and multi-criteria decision making theory to assess the current medical resource situation, find satisfactory solutions, and help the emergency decision makers to take appropriate responses in a timely manner. In addition, the best alternative is identified by the global optimal solution which can provide a theoretical guidance for decision makers to optimize the allocation of medical resources. To validate the proposed model, this paper conducts a case study of medical service assessment in provinces of East China. The results demonstrate that the proposed model can provide objective and comprehensive assessment of medical resources. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Gang Kou & Wenshuai Wu, 2014. "Multi-criteria decision analysis for emergency medical service assessment," Annals of Operations Research, Springer, vol. 223(1), pages 239-254, December.
    • Handle: RePEc:spr:annopr:v:223:y:2014:i:1:p:239-254:10.1007/s10479-014-1630-6
    DOI: 10.1007/s10479-014-1630-6
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    5. Sergio Domínguez & María Carmen Carnero, 2020. "Fuzzy Multicriteria Modelling of Decision Making in the Renewal of Healthcare Technologies," Mathematics, MDPI, vol. 8(6), pages 1-42, June.
    6. Zamiela, Christian & Hossain, Niamat Ullah Ibne & Jaradat, Raed, 2022. "Enablers of resilience in the healthcare supply chain: A case study of U.S healthcare industry during COVID-19 pandemic," Research in Transportation Economics, Elsevier, vol. 93(C).
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    8. Gia Sirbiladze & Otar Badagadze, 2017. "Intuitionistic Fuzzy Probabilistic Aggregation Operators Based on the Choquet Integral: Application in Multicriteria Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 245-279, January.
    9. Gia Sirbiladze & Irina Khutsishvili & Otar Badagadze & Mikheil Kapanadze, 2016. "More Precise Decision-Making Methodology in the Temporalized Body of Evidence. Application in the Information Technology Management," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1469-1502, November.
    10. Wenshuai Wu & Yi Peng, 2016. "Extension of grey relational analysis for facilitating group consensus to oil spill emergency management," Annals of Operations Research, Springer, vol. 238(1), pages 615-635, March.
    11. Yanyan Wang & Mingshu Lyu & Baiqing Sun, 2024. "Emergency resource allocation considering the heterogeneity of affected areas during the COVID-19 pandemic in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
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