Determination of Pattern Recognition Problems based on a Pythagorean Fuzzy Correlation Measure from Statistical Viewpoint

Ejegwa, PA; Feng, Y; Wen, S; Zhang, W

Determination of Pattern Recognition Problems based on a Pythagorean Fuzzy Correlation Measure from Statistical Viewpoint

Ejegwa, PA Feng, Y Wen, S

Zhang, W

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2021 13th International Conference on Advanced Computational Intelligence (ICACI), 2021, 00, pp. 132-139
Issue Date:: 2021-05-05

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Field	Value	Language
dc.contributor.author	Ejegwa, PA
dc.contributor.author	Feng, Y
dc.contributor.author	Wen, S https://orcid.org/0000-0001-8077-7001
dc.contributor.author	Zhang, W
dc.date	2021-05-14
dc.date.accessioned	2022-06-14T04:59:50Z
dc.date.available	2022-06-14T04:59:50Z
dc.date.issued	2021-05-05
dc.identifier.citation	2021 13th International Conference on Advanced Computational Intelligence (ICACI), 2021, 00, pp. 132-139
dc.identifier.isbn	978-1-6654-1254-4
dc.identifier.uri	http://hdl.handle.net/10453/158161
dc.description.abstract	By considering all the three parameters describing Pythagorean fuzzy set, we introduce a new technique of computing correlation coefficient between Pythagorean fuzzy sets from statistical perspective. The correlation coefficient value obtain via this technique shows strength of correlation between the Pythagorean fuzzy sets and indicates whether the Pythagorean fuzzy sets under consideration are related negatively or positively in contrast to other existing correlation coefficient approaches in Pythagorean fuzzy context, which only assess the strength of relationship. Certain numerical examples are considered to ascertain the authenticity of this method over similar techniques studied in intuitionistic/Pythagorean fuzzy contexts. Some pattern recognition problems are resolved with the aid of the new technique. For higher productivity sake, this technique could be approached from an object-oriented perspective.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2021 13th International Conference on Advanced Computational Intelligence (ICACI)
dc.relation.ispartof	International Conference on Advanced Computational Intelligence
dc.relation.isbasedon	10.1109/icaci52617.2021.9435895
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Determination of Pattern Recognition Problems based on a Pythagorean Fuzzy Correlation Measure from Statistical Viewpoint
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Wanzhou, China
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-06-14T04:59:48Z
pubs.finish-date	2021-05-16
pubs.place-of-publication	Piscatqway, USA
pubs.publication-status	Published
pubs.start-date	2021-05-14
pubs.volume	00
dc.location	Piscatqway, USA

Abstract:

By considering all the three parameters describing Pythagorean fuzzy set, we introduce a new technique of computing correlation coefficient between Pythagorean fuzzy sets from statistical perspective. The correlation coefficient value obtain via this technique shows strength of correlation between the Pythagorean fuzzy sets and indicates whether the Pythagorean fuzzy sets under consideration are related negatively or positively in contrast to other existing correlation coefficient approaches in Pythagorean fuzzy context, which only assess the strength of relationship. Certain numerical examples are considered to ascertain the authenticity of this method over similar techniques studied in intuitionistic/Pythagorean fuzzy contexts. Some pattern recognition problems are resolved with the aid of the new technique. For higher productivity sake, this technique could be approached from an object-oriented perspective.

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http://hdl.handle.net/10453/158161