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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Some special cases of theobtained results coincide with known results in literature.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, the intuitionistic fuzzy deferred statistical convergence of double sequences in theintuitionistic fuzzy normed space is defined by considering deferred density given in 2016 by Kuc¸¨ ukaslan and M. ¨Yılmazturk.
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Key Findings & Data:Besides the main properties of this new method, it is compared with intuitionistic fuzzy statistical ¨convergence of double sequences and itself under different restrictions on the method.
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Conclusion & Impact:Some special cases of theobtained results coincide with known results in literature.
🔬Design:Research Article
📍Scope:2016 Verileri
⚙️Variables:Domain Parameters
Abstract
In this study, the intuitionistic fuzzy deferred statistical convergence of double sequences in theintuitionistic fuzzy normed space is defined by considering deferred density given in 2016 by Kuc¸¨ ukaslan and M. ¨Yılmazturk. Besides the main properties of this new method, it is compared with intuitionistic fuzzy statistical ¨convergence of double sequences and itself under different restrictions on the method. Some special cases of theobtained results coincide with known results in literature.
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Cite This Article
KİŞİ, Ö., GÜLER, E. (2022). Deferred Statistical Convergence of Double Sequences in Intuitionistic Fuzzy Normed Linear Spaces. Turkish Journal of Mathematics and Computer Science, Cilt: 11 - Sayı: -, 95–104. https://ajindex.com/articles/609138