A Hybrid Spherical Fuzzy MCDM Approach to Prioritize Governmental Intervention Strategies Against COVID-19 Pandemic: A Case Study from Vietnam

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新冠疫情暴发期间的政府干预措施选择问题，被视作模糊且不确定环境下的多准则决策（Multi-Criteria Decision Making, MCDM）问题。在此类环境中，各国政府与医疗界需针对突发状况调整优先级，并评估不同国家已实施干预措施的实际效能。 本研究旨在构建一种新颖的混合模型，结合球模糊层次分析法（Spherical Fuzzy Analytic Hierarchy Process, SF-AHP）与模糊加权和积评估法（Fuzzy Weighted Aggregated Sum Product Assessment, WASPAS-F），以辅助政府官员、政策制定者等利益相关方对新冠疫情防控的政府干预措施开展优先级排序。其中，SF-AHP用于完成准则间的两两比较，并计算各准则的相对权重；随后通过WASPAS-F方法对15种潜在干预策略进行排名。本研究以越南为案例开展了实证研究，同时计算了策略在地方与全球层面的权重及其排序结果。 补充数据集共包含3个文件： 1. 用于确定5项准则相对权重的SF-AHP分析文件 2. 采用完全与部分两种方法的SF-AHP分析文件 3. WASPAS-F方法的结果文件