Application of Neutrosophic Similarity Measures in Covid-19.

中性粒子相似性测度在 Covid - 19 中的应用。

• 发表时间: 2022
• 来源期刊: Ann Data Sci
• DOI: 10.1007/s40745-021-00363-8
• PMID: 38624746
• 文章类型: Journal Article
• 作者列表: Das R,Mukherjee A,Tripathy BC

关键词: Corona virus; Distance function C-programming; Neutrosophic set; Raw data; Similarity measure

Abstract

The contemporary situation of the world is very pathetic due to the spread of COVID-19. In this article, we have prepared a decision making model on COVID-19 pandemic patients with the help of the neutrosophic similarity measures. The model is to predict the COVID-19 patents for testing positive and testing negative. The decision making is based on the testing result of the COVID-19 cases. We have used the neutrosophic similarity measure theory and the distance function. We have used the C-programming for finding the result of the suspected patients.

摘要

由于COVID-19的传播，当今世界的状况非常可悲。在这篇文章中,我们借助中性粒细胞相似性测量建立了COVID-19大流行患者的决策模型.该模型是预测COVID-19专利的检测阳性和检测阴性。决策基于COVID-19病例的检测结果。我们已经使用了中性相似性度量理论和距离函数。我们已经使用C编程来查找可疑患者的结果。