A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies Against COVID-19 Pandemic: A Case Study from Vietnam
Description
Government intervention selection during the COVID-19 outbreak is viewed as a Multi-Criteria Decision Making (MCDM) problem in a hazy and uncertain environment in which governments and medical communities adjust their priorities in response to emerging issues and the efficacy of interventions implemented in various countries. The purpose of this study is to propose a novel hybrid Spherical Fuzzy Analytic Hierarchy Process (SF-AHP) and Fuzzy Weighted Aggregated Sum Product Assessment (WASPAS-F) model to assist stakeholders such as governors and policymakers in prioritizing government interventions to address the COVID-19 outbreak. The SF-AHP is used to compare criteria pairwise and calculate the relative weight of each criterion. The WASPAS-F technique is then used to rank 15 possible intervention strategies. In Vietnam, an empirical case study was done. Additionally, the weights of strategies at the local and global levels, as well as their ranking order, are computed. The supplementary data concludes 3 files: 1. SF-AHP to determine the relative weights of 5 criteria 2. SF- AHP in complete and partial approaches 3.WASPAS-F Results
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Steps to reproduce
The SF-AHP is used to compare criteria pairwise and calculate the relative weight of each criterion. The WASPAS-F technique is then used to rank 15 possible intervention strategies. In Vietnam, an empirical case study was done. Additionally, the weights of strategies at the local and global levels, as well as their ranking order, are computed.