Application of Neutrosophic Similarity Measures in Covid-19

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Das, Rakhal, Mukherjee, Anjan, Tripathy, Binod Chandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637061/
http://dx.doi.org/10.1007/s40745-021-00363-8
_version_ 1784608667194097664
author Das, Rakhal
Mukherjee, Anjan
Tripathy, Binod Chandra
author_facet Das, Rakhal
Mukherjee, Anjan
Tripathy, Binod Chandra
author_sort Das, Rakhal
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8637061
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-86370612021-12-02 Application of Neutrosophic Similarity Measures in Covid-19 Das, Rakhal Mukherjee, Anjan Tripathy, Binod Chandra Ann. Data. Sci. Article 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. Springer Berlin Heidelberg 2021-12-02 2022 /pmc/articles/PMC8637061/ http://dx.doi.org/10.1007/s40745-021-00363-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Das, Rakhal
Mukherjee, Anjan
Tripathy, Binod Chandra
Application of Neutrosophic Similarity Measures in Covid-19
title Application of Neutrosophic Similarity Measures in Covid-19
title_full Application of Neutrosophic Similarity Measures in Covid-19
title_fullStr Application of Neutrosophic Similarity Measures in Covid-19
title_full_unstemmed Application of Neutrosophic Similarity Measures in Covid-19
title_short Application of Neutrosophic Similarity Measures in Covid-19
title_sort application of neutrosophic similarity measures in covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637061/
http://dx.doi.org/10.1007/s40745-021-00363-8
work_keys_str_mv AT dasrakhal applicationofneutrosophicsimilaritymeasuresincovid19
AT mukherjeeanjan applicationofneutrosophicsimilaritymeasuresincovid19
AT tripathybinodchandra applicationofneutrosophicsimilaritymeasuresincovid19

Ejemplares similares