The Neutrosophic Approach in Health Crisis Management: Optimal Decision-Making Under Uncertainty and Conflicting Data

Authors

https://doi.org/10.22105/ahse.v1i1.31

Abstract

This research presents an innovative neutrosophic decision-making model for selecting the best option under uncertainty and conflicting data conditions. The model uses neutrosophic sets to determine the truth, falsehood, and indeterminacy values for each option and criterion, enabling optimal decision-making by applying appropriate weights. As a case study, a hypothetical scenario for selecting the best solution to address a health crisis is examined. In this scenario, three proposed options are evaluated based on cost, social impact, and implementation time criteria, and the optimal option is identified through mathematical calculations. The results demonstrate that the proposed model exhibits high accuracy in analyzing complex and uncertain conditions and can be applied in various decision-making domains.

Keywords:

Neutrosophic decision-making, Health crisis, Disease outbreak management, Uncertainty, Conflicting data

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Published

2024-03-25

Issue

Vol. 1 No. 1 (2024): Annals of Healthcare Systems Engineering

Section

Articles

How to Cite

Ghandehari, M. ., & Edalatpanah, S. A. . (2024). The Neutrosophic Approach in Health Crisis Management: Optimal Decision-Making Under Uncertainty and Conflicting Data. Annals of Healthcare Systems Engineering, 1(1), 61-71. https://doi.org/10.22105/ahse.v1i1.31

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