为 COVID-19 选择治疗策略的概率犹豫模糊 MCDM 方法

Ahmed M. Ali, Ahmed x Ahmed Abdelhafeez, Tamer H.M. Soliman, Khaled ELMenshawy
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引用次数: 0

摘要

全球患病人数和死亡人数的大幅上升,使得抗击严重致命的 COVID-19 大流行成为一项全球性的工作。目前已有几种治疗 COVID-19 的疗法,更多的疗法正在开发中。然而,仍需为 COVID-19 患者选择最佳疗法。利用多标准决策法,患者可以很容易地从现有的 COVID-19 疗法中做出选择。因此,本研究提供了一种 MCDM 方法,用于确定 COVID-19 疗法。本研究介绍了概率犹豫模糊集的数、值和模糊性。还深入研究了 PHFS 数字的定理和特征。在 PHFS 的基础上,使用了复杂比例评估技术来处理模糊性问题。本研究采用了十项标准和三种治疗方法:抗菌药物和血浆治疗、疫苗接种以及检疫和内部隔离。研究结果显示,检疫和居家隔离是最有效的治疗方法,其次是接种疫苗与抗生素和血浆疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Probabilistic Hesitant Fuzzy MCDM Approach to Selecting Treatment Policy For COVID-19
The global significant rise in the number of sick individuals and fatalities has made the ongoing struggle against the severe and lethal COVID-19 pandemic a global effort. There are several ongoing therapies for COVID-19, and more are being developed. However, selecting the best therapy option for COVID-19 patients is still needed. Patients may easily choose from the available COVID-19 therapies using the multi-criteria decision-making method. As a result, the present study provides an MCDM method that is created to determine COVID-19 therapies. Probabilistic Hesitant Fuzzy Set numbers, values, and ambiguity are introduced. Theorems and characteristics of PHFS numbers are also investigated in depth. The Complex Proportional Assessment technique is used, based on the PHFS, for dealing with ambiguity issues. This study uses ten criteria and three treatment methods: antibacterial medication and plasma treatment, vaccinations, as well as quarantine and in-house isolation. The study results reveal that quarantine and isolation at home mark the most effective treatment, followed by vaccinations with antibiotics and plasma therapy.
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