Some similarity measures of rough interval Pythagorean fuzzy sets
In this paper, we expose cosine, jaccard and dice similarity measures and rough interval Pythagorean mean operator. Some of the important properties of the defined similarity measures have been established. Then the proposed methods are applied for solving multi attribute decision making problems. F...
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Ayandegan Institute of Higher Education,
2020
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oai:doaj.org-article:8e7ea4286b1246c0878a16530bea2e6b2021-11-13T08:42:02ZSome similarity measures of rough interval Pythagorean fuzzy sets2783-14422717-345310.22105/jfea.2020.262002.1068https://doaj.org/article/8e7ea4286b1246c0878a16530bea2e6b2020-12-01T00:00:00Zhttp://www.journal-fea.com/article_121651_8bf52d088bacd58739616c5b60a168b0.pdfhttps://doaj.org/toc/2783-1442https://doaj.org/toc/2717-3453In this paper, we expose cosine, jaccard and dice similarity measures and rough interval Pythagorean mean operator. Some of the important properties of the defined similarity measures have been established. Then the proposed methods are applied for solving multi attribute decision making problems. Finally, a numerical example is solved to show the feasibility, applicability and effectiveness of the proposed strategies.V. S. SubhaP. DhanalakshmiAyandegan Institute of Higher Education,articleinterval valued fuzzy setpythagorean fuzzy setrough setcosine similarity measurejaccard similarity measuredice similarity measureMathematicsQA1-939ENJournal of Fuzzy Extension and Applications, Vol 1, Iss 4, Pp 304-313 (2020) |
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interval valued fuzzy set pythagorean fuzzy set rough set cosine similarity measure jaccard similarity measure dice similarity measure Mathematics QA1-939 |
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interval valued fuzzy set pythagorean fuzzy set rough set cosine similarity measure jaccard similarity measure dice similarity measure Mathematics QA1-939 V. S. Subha P. Dhanalakshmi Some similarity measures of rough interval Pythagorean fuzzy sets |
description |
In this paper, we expose cosine, jaccard and dice similarity measures and rough interval Pythagorean mean operator. Some of the important properties of the defined similarity measures have been established. Then the proposed methods are applied for solving multi attribute decision making problems. Finally, a numerical example is solved to show the feasibility, applicability and effectiveness of the proposed strategies. |
format |
article |
author |
V. S. Subha P. Dhanalakshmi |
author_facet |
V. S. Subha P. Dhanalakshmi |
author_sort |
V. S. Subha |
title |
Some similarity measures of rough interval Pythagorean fuzzy sets |
title_short |
Some similarity measures of rough interval Pythagorean fuzzy sets |
title_full |
Some similarity measures of rough interval Pythagorean fuzzy sets |
title_fullStr |
Some similarity measures of rough interval Pythagorean fuzzy sets |
title_full_unstemmed |
Some similarity measures of rough interval Pythagorean fuzzy sets |
title_sort |
some similarity measures of rough interval pythagorean fuzzy sets |
publisher |
Ayandegan Institute of Higher Education, |
publishDate |
2020 |
url |
https://doaj.org/article/8e7ea4286b1246c0878a16530bea2e6b |
work_keys_str_mv |
AT vssubha somesimilaritymeasuresofroughintervalpythagoreanfuzzysets AT pdhanalakshmi somesimilaritymeasuresofroughintervalpythagoreanfuzzysets |
_version_ |
1718430268244623360 |