Application of Neutrosophic Similarity Measures in Covid-19

Rakhal Das (), Anjan Mukherjee () and Binod Chandra Tripathy ()
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Rakhal Das: Tripura University Agartala
Anjan Mukherjee: Tripura University Agartala
Binod Chandra Tripathy: Tripura University Agartala

Annals of Data Science, 2022, vol. 9, issue 1, No 4, 55-70

Abstract: 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.

Keywords: Neutrosophic set; Raw data; Corona virus; Similarity measure; Distance function C-programming; 03E72; 90B50; 03E75 (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s40745-021-00363-8

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