Ecer Fatih
Department of Business Administrative, Faculty of Economics and Administrative Sciences, Afyon Kocatepe University, 03030 Afyonkarahisar, Turkey.
Neural Comput Appl. 2022;34(7):5603-5623. doi: 10.1007/s00521-021-06728-7. Epub 2022 Jan 7.
All over the world, the COVID-19 outbreak seriously affects life, whereas numerous people have infected and passed away. To control the spread of it and to protect people, appreciable vaccine development efforts continue with increasing momentum. Given that this pandemic will be in our lives for a long time, it is obvious that a reliable and useful framework is needed to choose among coronavirus vaccines. To this end, this paper proposes a new intuitionistic fuzzy extension of MAIRCA framework, named intuitionistic fuzzy MAIRCA (IF-MAIRCA) to assess coronavirus vaccines according to some evaluation criteria. Based on the group decision-making, the IF-MAIRCA framework both extracts the criteria weights and discovers the prioritization of the alternatives under uncertainty. In this work, as a case study, five coronavirus vaccines approved by the world's leading authorities are evaluated according to various criteria. The findings demonstrate that the most significant criteria considered in coronavirus vaccine selection are "duration of protection," "effectiveness of the vaccine," "success against the mutations," and "logistics," respectively, whereas the best coronavirus vaccine is AZD1222. Apart from this, the proposed model's robustness is verified with a three-phase sensitivity analysis.
在全球范围内，新冠疫情严重影响生活，大量人员感染并死亡。为控制疫情传播和保护民众，可观的疫苗研发工作正以越来越大的势头持续推进。鉴于这场大流行将长期存在于我们的生活中，显然需要一个可靠且有用的框架来在新冠疫苗中进行选择。为此，本文提出了一种新的MAIRCA框架的直觉模糊扩展，即直觉模糊MAIRCA（IF - MAIRCA），以根据一些评估标准对新冠疫苗进行评估。基于群体决策，IF - MAIRCA框架在不确定性下既提取标准权重，又发现备选方案的优先级。在这项工作中，作为案例研究，根据各种标准对世界主要权威机构批准的五种新冠疫苗进行了评估。研究结果表明，在新冠疫苗选择中考虑的最重要标准分别是“保护持续时间”“疫苗有效性”“对抗突变的成功率”和“物流”，而最佳的新冠疫苗是AZD1222。除此之外，通过三阶段敏感性分析验证了所提模型的稳健性。
