Statistical convergence of Double Sequences on intuitionistic fuzyy normed spaces
Yazarlar (2)
Prof. Dr. Sevda AKDAĞ Sinop Üniversitesi, Türkiye
Prof. Dr. Kamil DEMİRCİ Sinop Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Journal of Computational Analysis and Applications (Q3)
Dergi ISSN 1521-1398 Dergi Bilgileri (2008)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 01-2008
Cilt / Sayı / Sayfa 10 / 3 / 377–389 DOI
Makale Linki Journal of Computational Analysis and Application
UAK Araştırma Alanları
Matematiksel Analiz
Özet
The 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.
Anahtar Kelimeler
Continuous t-conorm | Continuous t-norm | Intuitionistic fuzzy normed space | Natural double density | Statistical convergence
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 1
Scopus 1
Google Scholar 1

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