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基于 TOPSIS、VIKOR 和 COPRAS 方法的 COVID-19 区域安全评估的比较分析。

Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment.

机构信息

Department of Industrial Engineering, Konya Technical University, 42075 Konya, Turkey.

Department of Business Administration, Selçuk University, 42075 Konya, Turkey.

出版信息

J Infect Public Health. 2021 Jun;14(6):775-786. doi: 10.1016/j.jiph.2021.03.003. Epub 2021 Mar 24.

Abstract

COVID-19, which emerged in December 2019, has affected the entire world. Therefore, COVID-19 has been a subject of research in various disciplines, especially in the field of health. One of these studies was the report made by the Deep Knowledge Group (DKG) consortium in which safe regions for COVID-19 were determined. In the report, the main criteria of quarantine efficiency, government efficiency of risk management, monitoring and detection, health readiness, regional resilience, and emergency preparedness are used in the evaluation of countries and regions (alternatives). As the data and research structure used in this report are based on multi-criteria, the purpose of this study is to evaluate and analyse the safety levels of 100 regions in the world in terms of COVID-19 using Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), Vise Kriterijumsa Optimizacija I Kompromisno Resenje (VIKOR) and Complex Proportional Assessment (COPRAS) methods. The data and information required in the methods were obtained from a report prepared by the DKG. The results of the methods were compared with the ranking results presented in a report of the DKG. Accordingly, it has been observed that the method that provides the closest results to the results of the report is the COPRAS method, and the method that gives the most distant results is the VIKOR method.

摘要

COVID-19 于 2019 年 12 月出现,已经影响了全世界。因此,COVID-19 成为了各个学科的研究对象,尤其是在健康领域。其中一项研究是由 Deep Knowledge Group (DKG) 联盟做出的报告,该报告确定了 COVID-19 的安全区域。在报告中,使用了检疫效率、风险管理的政府效率、监测和检测、卫生准备、区域弹性和应急准备等主要标准来评估国家和地区(替代方案)。由于该报告中使用的数据和研究结构基于多标准,因此本研究的目的是使用逼近理想解的排序方法 (TOPSIS)、VIse Kriterijumsa Optimizacija I Kompromisno Resenje (VIKOR) 和复杂比例评估 (COPRAS) 方法评估和分析全球 100 个地区的 COVID-19 安全水平。方法中所需的数据和信息是从 DKG 编写的一份报告中获得的。方法的结果与 DKG 报告中呈现的排名结果进行了比较。结果表明,与报告结果最接近的方法是 COPRAS 方法,而最不接近的方法是 VIKOR 方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a665/7989074/c2bbd770ab6a/gr3_lrg.jpg

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