The outburst of the pandemic Coronavirus disease since December 2019, has severely impacted the health and economy worldwide. The epidemic is spreading fast through various means, as the virus is very infectious. Medical science is exploring a vaccine, only symptomatic treatment is possible at the moment. To contain the virus, it is required to categorize the risk factors and rank those in terms of contagion. This study aims to evaluate risk factors involved in the spread of COVID-19 and to rank them. In this work, we applied the methodology namely, Fuzzy Analytic Hierarchy Process (FAHP) to find out the weights and finally Hesitant Fuzzy Sets (HFS) with Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is applied to identify the major risk factor. The results showed that “long duration of contact with the infected person” the most significant risk factor, followed by “spread through hospitals and clinic” and “verbal spread”. We showed the appliance of the Multi Criteria Decision Making (MCDM) tools in evaluation of the most significant risk factor. Moreover, we conducted sensitivity analysis.

2019年12月以来，新冠肺炎疫情爆发，给全球健康和经济带来严重影响。由于病毒传染性很强，疫情通过多种途径快速传播。医学正在探索疫苗，目前只能对症治疗。为了遏制病毒，需要对危险因素进行分类，并根据传染程度对这些因素进行排序。本研究旨在评估与 COVID-19 传播相关的风险因素并对其进行排名。在这项工作中，我们应用了模糊层次分析法（FAHP）的方法来找出权重，最后应用犹豫模糊集（HFS）和理想解相似顺序偏好技术（TOPSIS）来识别主要风险因素。结果显示，“与感染者长时间接触”是最显着的危险因素，其次是“通过医院和诊所传播”和“口头传播”。我们展示了多标准决策 (MCDM) 工具在评估最重要的风险因素中的应用。此外，我们还进行了敏感性分析。