评估COVID-19患者的治疗选择,使用通用犹不决的模糊多标准决策技术
Sandip Nandi1, Giuseppe Granata2, Subrata Jana3
1Institute of Business Management & Research, Kolkata, WB, India.
概括
这项研究使用多标准决策 (MCDM) 对COVID-19治疗进行了排名,其中氧化成为排名第一的选择. 这些发现有助于当前的流行病管理和未来的准备.
科学领域:
- 决策科学 决策科学
- 传染性疾病 传染性疾病
- 药理学 药理学是指药理学的学科.
背景情况:
- 由于缺乏特定的抗病毒药物,COVID-19大流行需要有效的治疗策略.
- 评估现有的治疗方案对于当前的流行病应对和未来的准备都至关重要.
研究的目的:
- 通过多标准决策 (MCDM) 方法识别,评估和排名流行的COVID-19治疗选择.
- 引入和应用新的通用犹五角形模糊数 (GHPFN) 方法来支持决策.
主要方法:
- 文献审查和专家采访以确定治疗标准和重要性.
- 通用犹模糊集 (GHFS) 和通用犹五角模糊数字 (GHPFN) 的开发.
- 通过类似于理想解决方案的顺序偏好技术 (TOPSIS) 与GHPFN集成的应用,用于排名处理.
主要成果:
- 氧化被列为最有效的治疗选择.
- 在排名顺序之后是血交换,托西利祖马布,雷姆德西维尔和法维皮拉维尔.
- 通过比较和灵敏度分析证实了强度.
结论:
- 拟议的GHPFN-TOPSIS方法为评估和排名COVID-19治疗提供了一个强大的框架.
- 这项研究为临床决策和流行病准备策略提供了宝贵的见解.
关键词:
在 COVID-19 疫情中,在 GHFS 中,GHFS 是在 GHPFNN 中.GHPFN (第二种类型)在HFS中,HFS是HFS.在MCDM中,MCDM是MCDM.这里是TOPSIS的地图.更多相关视频
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