A Unified Decision-Making Technique for Analysing Treatments in Pandemic Context
作者机构：Department of Computer ScienceFaculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information SystemsFaculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information TechnologyBabasaheb Bhimrao Ambedkar UniversityLucknow226025Uttar PradeshIndia Department of Computer Science and EngineeringBabu Banarasi Das UniversityLucknow226028India
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2022年第73卷第11期
页 面：2591-2618页
核心收录：
学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学]
基 金：Funding for this study was received from the Ministry of Education and Deanship of Scientific Research at King Abdulaziz University Kingdom of Saudi Arabia under Grant No.IFPHI-266-611-2020
主 题：AHP-TOPSIS hesitant fuzzy sets SARS-CoV-2 healthcare sector preventive drugs
摘 要：The COVID-19 pandemic has triggered a global humanitarian disaster that has never been seen *** experts,on the other hand,are undecided on the most valuable treatments of therapy because people ill with this infection exhibit a wide range of illness indications at different phases of ***,this project aims to undertake an experimental investigation to determine which treatments for COVID-19 disease is the most effective and *** research analysis is based on vast data gathered from professionals and research journals,making this study a comprehensive *** solve this challenging task,the researchers used the HF AHPTOPSIS Methodology,which is a well-known and highly effective MultiCriteria Decision Making(MCDM)*** technique assesses the many treatment options identified through various research papers and guidelines proposed by various countries,based on the recommendations of medical practitioners and *** review process begins with a ranking of different treatments based on their effectiveness using the HF-AHP approach and then evaluates the results in five different hospitals chosen by the authors as *** also perform robustness analysis to validate the conclusions of our *** a result,we obtained highly corroborative results that can be used as a *** results suggest that convalescent plasma has the greatest rank and priority in terms of effectiveness and demand,implying that convalescent plasma is the most effective treatment for SARS-CoV-2 in our *** also has the lowest priority in the estimation.
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