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Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach
Preferable hospitalization of COVID-19 patients has become an urgent and challenging task to save lives amidst the unexpected rising of the 3rd wave, where fuzzy set and matching techniques are considered due to their inherent capability to deal with uncertain suitable pair selection. The matching t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374587/ http://dx.doi.org/10.1007/s41066-022-00339-w |
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author | Si, Amalendu Das, Sujit Kar, Samarjit |
author_facet | Si, Amalendu Das, Sujit Kar, Samarjit |
author_sort | Si, Amalendu |
collection | PubMed |
description | Preferable hospitalization of COVID-19 patients has become an urgent and challenging task to save lives amidst the unexpected rising of the 3rd wave, where fuzzy set and matching techniques are considered due to their inherent capability to deal with uncertain suitable pair selection. The matching technique has been widely used to solve decision-making problems due to its capability to determine the suitable pair between the objects of two disjoint sets, whereas fuzzy set is well known to manage uncertain situations. This paper extends the matching technique using fuzzy set and proposes a novel fuzzy matching approach to solve uncertain decision-making problems. We also extend the fuzzy matching approach in the framework of an intuitionistic fuzzy set. A relation between the matching technique and fuzzy set theory is established by developing the preference sequence of the elements. The fuzzy entropy is used to measure the closeness among the elements between two distinct sets. Applicability of the proposed approach is measured by providing an illustrative case study concerned with the preferred hospitalization of the COVID-19 patients. Finally, a comparative study is given to analyze the effectiveness of the proposed approach, where the intuitionistic fuzzy set-based matching approach shows better performance compared to fuzzy and conventional matching based approach. For experimentation purpose, this study uses 9424 patients and 234 hospitals with a total available capacity of 18,024 beds. |
format | Online Article Text |
id | pubmed-9374587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-93745872022-08-15 Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach Si, Amalendu Das, Sujit Kar, Samarjit Granul. Comput. Original Paper Preferable hospitalization of COVID-19 patients has become an urgent and challenging task to save lives amidst the unexpected rising of the 3rd wave, where fuzzy set and matching techniques are considered due to their inherent capability to deal with uncertain suitable pair selection. The matching technique has been widely used to solve decision-making problems due to its capability to determine the suitable pair between the objects of two disjoint sets, whereas fuzzy set is well known to manage uncertain situations. This paper extends the matching technique using fuzzy set and proposes a novel fuzzy matching approach to solve uncertain decision-making problems. We also extend the fuzzy matching approach in the framework of an intuitionistic fuzzy set. A relation between the matching technique and fuzzy set theory is established by developing the preference sequence of the elements. The fuzzy entropy is used to measure the closeness among the elements between two distinct sets. Applicability of the proposed approach is measured by providing an illustrative case study concerned with the preferred hospitalization of the COVID-19 patients. Finally, a comparative study is given to analyze the effectiveness of the proposed approach, where the intuitionistic fuzzy set-based matching approach shows better performance compared to fuzzy and conventional matching based approach. For experimentation purpose, this study uses 9424 patients and 234 hospitals with a total available capacity of 18,024 beds. Springer International Publishing 2022-08-13 2023 /pmc/articles/PMC9374587/ http://dx.doi.org/10.1007/s41066-022-00339-w Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 | Original Paper Si, Amalendu Das, Sujit Kar, Samarjit Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach |
title | Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach |
title_full | Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach |
title_fullStr | Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach |
title_full_unstemmed | Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach |
title_short | Preferred hospitalization of COVID-19 patients using intuitionistic fuzzy set-based matching approach |
title_sort | preferred hospitalization of covid-19 patients using intuitionistic fuzzy set-based matching approach |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9374587/ http://dx.doi.org/10.1007/s41066-022-00339-w |
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