On Generalized Difference Rough Ideal Statistical Convergence in Neutrosophic Normed Spaces
This article's main goal is to provide and investigate a novel statistical convergence generalisation for generalized difference sequences in Neutrosophic Normed Spaces (NNS) called rough ideal statistical convergence. The collection of approximate optimal statistical limit points and cluster p...
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Veröffentlicht in: | Neutrosophic sets and systems 2024-07, Vol.68, p.287 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | This article's main goal is to provide and investigate a novel statistical convergence generalisation for generalized difference sequences in Neutrosophic Normed Spaces (NNS) called rough ideal statistical convergence. The collection of approximate optimal statistical limit points and cluster points is defined, and their algebraic and topological features are examined. Additionally, we included the relationship for generalized difference sequences in NNS between rough I-statistical cluster points and rough I-statistical limit points. Keywords: Neutrosophic normed space; ideal statistical convergence; rough ideal statistical convergence; difference sequence |
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ISSN: | 2331-6055 |