Risk Assessment for Disaster Scenarios Like Pandemic: Integrated Fram-Fmea Based Pythagorean Fuzzy Critic&Waspas

Abstract

The use of trustworthy and dynamic risk assessment approaches is crucial in the continuously evolving context of global disasters and pandemics. This study has provided an overview of the proposed integrated approach. The Functional Resonance Analysis Method (FRAM) and Failure Mode and Effect Analysis (FMEA) are combined in this article in order to present a novel hybrid approach that is further strengthened by the robustness of the Pythagorean Fuzzy CRITIC&WASPAS method. In the first stage of the presented model, we determined the weight of the criteria by using Pythagorean Fuzzy CRITIC.  In the second stage, we employed Pythagorean Fuzzy WASPAS to rank failure modes. A case study was done to identify and evaluate the processes and hazards connected with fighting the COVID-19 virus in healthcare facilities. The use of this integrated approach in healthcare facilities has shown how effective it is at identifying complex risk variables and assisting in well-informed decision-making. Beyond conventional linear models, this integrated approach provides a comprehensive perspective that enables stakeholders to prioritize risks and put actions into place while having an improved understanding of systemic weaknesses. In light of changing worldwide challenges, this research lays the path for resilient and more adaptable risk management methods.

Keywords: FRAM, Pythagorean fuzzy sets, Risk assessment, WASPAS, CRITIC