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.
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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