Ahmad Naeem, Hasan Md Gulzarul, Barbhuiya Rejaul Karim
Department of Computer Applications, Madanapalle Institute of Technology and Science, Madanapalle, India.
Department of Mathematics, Madanapalle Institute of Technology and Science, Madanapalle, India.
Appl Soft Comput. 2021 Nov;111:107642. doi: 10.1016/j.asoc.2021.107642. Epub 2021 Jul 2.
The world is reeling in the midst of the novel coronavirus pandemic with fear of rising toll due to the deadly virus. Decision making during a pandemic outbreak has numerous challenges. Covid19 has become a challenging problem for organizations, countries and the world at large. It is even more complicated when governments and medical care communities are changing their priorities based on the growing challenges and level of effectiveness of measures taken in other countries. In this study, a potential application of a well-known MCDM method called the Group Best-Worst Method is presented to overcome such challenges and draw the strategies to handle COVID19 outbreak. The methodology is applied to rank the 10 identified strategies based on their relative importance provided by multiple groups of stakeholder. These strategies focus on social distancing, medical care, essential commodities, financial support to poor people, public awareness, overall impact of COVID19, digital surveillance of infected or doubtful people, maintaining the economy of the country, and an effect on industries. Furthermore, the local and global weights along with ranking order of strategies are obtained. A sensitivity analysis has also been done to show the change in global weights and ranking order of strategies.
世界正处于新型冠状病毒大流行之中,因这种致命病毒导致的死亡人数不断上升而陷入恐慌。在大流行爆发期间进行决策面临诸多挑战。新冠疫情已成为组织、国家乃至整个世界面临的一个具有挑战性的问题。当政府和医疗界根据其他国家日益增长的挑战和所采取措施的有效性来改变其优先事项时,情况就变得更加复杂。在本研究中,提出了一种名为群体最佳 - 最差方法的著名多准则决策方法的潜在应用,以克服此类挑战并制定应对新冠疫情爆发的策略。该方法用于根据多组利益相关者提供的相对重要性对确定的10项策略进行排序。这些策略侧重于社交距离、医疗护理、基本商品、对贫困人口的财政支持、公众意识、新冠疫情的总体影响、对感染者或疑似感染者的数字监测、维持国家经济以及对行业的影响。此外,还获得了策略的局部和全局权重以及排序顺序。还进行了敏感性分析,以显示全局权重和策略排序顺序的变化。