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An based emergency response plan evaluation with MULTIMOORA method in group decision making.

Jindong Qin1,2, Xiaoyu Ma1

  • 1School of Management, Wuhan University of Technology, Wuhan Hubei, 430070, China.

Applied Soft Computing
|April 18, 2022
PubMed
Summary
This summary is machine-generated.

This study proposes a new decision-making method for evaluating emergency response plans, crucial for public health emergencies like COVID-19. The method integrates prospect theory and multi-criteria decision analysis to improve plan selection and group consensus.

Keywords:
Emergency response planFuzzy multi-criteria group decision makingSMAA-MULTIMOORA methodThird generation prospect theory

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Area of Science:

  • Public Health
  • Decision Science
  • Risk Management

Background:

  • The COVID-19 pandemic highlighted the critical need for effective public health emergency response plans.
  • Assessing and selecting optimal emergency plans is vital for managing large-scale crises.

Purpose of the Study:

  • To develop and evaluate a novel decision-making framework for selecting emergency response plans.
  • To integrate prospect theory and multi-criteria decision analysis for enhanced emergency preparedness.

Main Methods:

  • A new decision-making method combining interval type-2 fuzzy sets, prospect theory, and an extended MULTIMOORA approach.
  • Development of a convergent iterative algorithm for achieving group consensus amidst conflicting preferences.
  • Application of Stochastic Multi-Criteria Acceptability Analysis (SMAA) and Borda Count (BC) for robust result aggregation.

Main Results:

  • The proposed method effectively evaluates and selects emergency response plans, demonstrated through a COVID-19 case study.
  • Sensitivity and comparative analyses confirmed the method's robustness and practical applicability.
  • The group consensus algorithm successfully resolved conflicting preferences in decision-making.

Conclusions:

  • The integrated decision-making framework offers a superior approach to evaluating emergency response plans for public health crises.
  • The method enhances group decision-making processes by facilitating consensus and providing reliable plan selection.
  • This research provides valuable insights for improving emergency preparedness and response strategies globally.