Publication:
Statistical Convergence of Double Sequences on Intuitionistic Fuzzy Normed Spaces

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dc.authorscopusid22935096400
dc.authorscopusid6603265660
dc.contributor.authorAkdaǧ, S.
dc.contributor.authorDemirci, K.
dc.date.accessioned2020-06-21T15:13:31Z
dc.date.available2020-06-21T15:13:31Z
dc.date.issued2008
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Akdaǧ] Sevda, Department of Mathematics, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Demirci] Kamil, Department of Mathematics, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractThe concept of statistical convergence was presented by Steinhaus (1951). This concept was extended to the double sequences by Mursaleen and Edely (2003). In this paper, we define and study statistical analogue of convergence and Cauchy for double sequences on intuitionistic fuzzy normed spaces. Then we give a useful characterization for statistically convergent double sequences. Furthermore, we display an example such that our method of convergence is stronger than the usual convergence for double sequences on intuitionistic fuzzy normed spaces. Copyright 2008 Eudoxus Press, LLC.en_US
dc.identifier.endpage389en_US
dc.identifier.issn1521-1398
dc.identifier.issn1572-9206
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-49149094113
dc.identifier.scopusqualityQ4
dc.identifier.startpage377en_US
dc.identifier.volume10en_US
dc.identifier.wosWOS:000253261100010
dc.language.isoenen_US
dc.publisherEudoxus Press, LLCen_US
dc.relation.ispartofJournal of Computational Analysis and Applicationsen_US
dc.relation.journalJournal of Computational Analysis and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectContinuous T-Conormen_US
dc.subjectContinuous T-Normen_US
dc.subjectIntuitionistic Fuzzy Normed Spaceen_US
dc.subjectNatural Double Densityen_US
dc.subjectStatistical Convergenceen_US
dc.titleStatistical Convergence of Double Sequences on Intuitionistic Fuzzy Normed Spacesen_US
dc.typeArticleen_US
dspace.entity.typePublication

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