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Application of Neutrosophic Similarity Measures in Covid-19
Annals of Data Science ; 9(1):55-70, 2022.
Article in English | ProQuest Central | ID: covidwho-1707481
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.
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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: Annals of Data Science Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: Annals of Data Science Year: 2022 Document Type: Article