Some similarity measures of spherical fuzzy sets based on the Euclidean distance and their application in medical diagnosis

Similarity measure is an important tool in multiple criteria decision-making problems, which can be used to measure the difference between the alternatives. In this paper, some new similarity measures of Spherical Fuzzy Sets (SFS) are defined based on the Euclidean distance measure and the proposed...

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Autores principales: Princy Rayappan, Mohana Krishnaswamy
Formato: article
Lenguaje:EN
Publicado: Ayandegan Institute of Higher Education, 2020
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Acceso en línea:https://doaj.org/article/c12ab7009fba495aa3f770c514c103a6
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spelling oai:doaj.org-article:c12ab7009fba495aa3f770c514c103a62021-11-07T10:03:37ZSome similarity measures of spherical fuzzy sets based on the Euclidean distance and their application in medical diagnosis2783-14422717-345310.22105/jfea.2020.251669.1018https://doaj.org/article/c12ab7009fba495aa3f770c514c103a62020-09-01T00:00:00Zhttp://www.journal-fea.com/article_119345_b20c03809e863bbe50c4e003aceebcf3.pdfhttps://doaj.org/toc/2783-1442https://doaj.org/toc/2717-3453Similarity measure is an important tool in multiple criteria decision-making problems, which can be used to measure the difference between the alternatives. In this paper, some new similarity measures of Spherical Fuzzy Sets (SFS) are defined based on the Euclidean distance measure and the proposed similarity measures satisfy the axiom of the similarity measure. Furthermore, we apply the proposed similarity measures to medical diagnosis decision making problem; the numerical example is used to illustrate the feasibility and effectiveness of the proposed similarity measures of SFS, which are then compared to other existing similarity measures.Princy RayappanMohana KrishnaswamyAyandegan Institute of Higher Education,articlespehrical fuzzy setseuclidean distanceproposed similarity measures medical diagnosisMathematicsQA1-939ENJournal of Fuzzy Extension and Applications, Vol 1, Iss 3, Pp 244-251 (2020)
institution DOAJ
collection DOAJ
language EN
topic spehrical fuzzy sets
euclidean distance
proposed similarity measures medical diagnosis
Mathematics
QA1-939
spellingShingle spehrical fuzzy sets
euclidean distance
proposed similarity measures medical diagnosis
Mathematics
QA1-939
Princy Rayappan
Mohana Krishnaswamy
Some similarity measures of spherical fuzzy sets based on the Euclidean distance and their application in medical diagnosis
description Similarity measure is an important tool in multiple criteria decision-making problems, which can be used to measure the difference between the alternatives. In this paper, some new similarity measures of Spherical Fuzzy Sets (SFS) are defined based on the Euclidean distance measure and the proposed similarity measures satisfy the axiom of the similarity measure. Furthermore, we apply the proposed similarity measures to medical diagnosis decision making problem; the numerical example is used to illustrate the feasibility and effectiveness of the proposed similarity measures of SFS, which are then compared to other existing similarity measures.
format article
author Princy Rayappan
Mohana Krishnaswamy
author_facet Princy Rayappan
Mohana Krishnaswamy
author_sort Princy Rayappan
title Some similarity measures of spherical fuzzy sets based on the Euclidean distance and their application in medical diagnosis
title_short Some similarity measures of spherical fuzzy sets based on the Euclidean distance and their application in medical diagnosis
title_full Some similarity measures of spherical fuzzy sets based on the Euclidean distance and their application in medical diagnosis
title_fullStr Some similarity measures of spherical fuzzy sets based on the Euclidean distance and their application in medical diagnosis
title_full_unstemmed Some similarity measures of spherical fuzzy sets based on the Euclidean distance and their application in medical diagnosis
title_sort some similarity measures of spherical fuzzy sets based on the euclidean distance and their application in medical diagnosis
publisher Ayandegan Institute of Higher Education,
publishDate 2020
url https://doaj.org/article/c12ab7009fba495aa3f770c514c103a6
work_keys_str_mv AT princyrayappan somesimilaritymeasuresofsphericalfuzzysetsbasedontheeuclideandistanceandtheirapplicationinmedicaldiagnosis
AT mohanakrishnaswamy somesimilaritymeasuresofsphericalfuzzysetsbasedontheeuclideandistanceandtheirapplicationinmedicaldiagnosis
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