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A Benchmark Similarity Measures for Fermatean Fuzzy Sets

dc.contributor.authorKhan, Faiz Muhammad
dc.contributor.authorKhan, Imran
dc.contributor.authorAhmad, Waqas
dc.date.accessioned2022-08-25T13:00:38Z
dc.date.available2022-08-25T13:00:38Z
dc.date.issued2022-06-08
dc.identifier.issn0138-0680
dc.identifier.urihttp://hdl.handle.net/11089/42925
dc.description.abstractIn this paper, we utilized triangular conorms (S-norm). The essence of using S-norm is that the similarity order does not change using different norms. In fact, we are investigating for a new conception for calculating the similarity of two Fermatean fuzzy sets. For this purpose, utilizing an S-norm, we first present a formula for calculating the similarity of two Fermatean fuzzy values, so that they are truthful in similarity properties. Following that, we generalize a formula for calculating the similarity of the two Fermatean fuzzy sets which prove truthful in similarity conditions. Finally, various numerical examples have been presented to elaborate this method.en
dc.language.isoen
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.relation.ispartofseriesBulletin of the Section of Logic;2en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectFermatean fuzzy seten
dc.subjectsimilarity measureen
dc.subjectS-similarity measureen
dc.titleA Benchmark Similarity Measures for Fermatean Fuzzy Setsen
dc.typeOther
dc.page.number207-226
dc.contributor.authorAffiliationKhan, Faiz Muhammad - University of Swat, Department of Mathematics and Statistics, Sector-D, Kanju township, Swat, Khyber Pakhtunkhwa, Pakistanen
dc.contributor.authorAffiliationKhan, Imran - University of Swat, Department of Mathematics and Statistics, Sector-D, Kanju township, Swat, Khyber Pakhtunkhwa, Pakistanen
dc.contributor.authorAffiliationAhmad, Waqas - University of Swat, Department of Mathematics and Statistics, Sector-D, Kanju township, Swat, Khyber Pakhtunkhwa, Pakistanen
dc.identifier.eissn2449-836X
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dc.contributor.authorEmailKhan, Faiz Muhammad - drfaiz@uswat.edu.pk
dc.contributor.authorEmailKhan, Imran - ispi2741@gmail.com
dc.contributor.authorEmailAhmad, Waqas - waqaskahn546@gmail.com
dc.identifier.doi10.18778/0138-0680.2022.08
dc.relation.volume51


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