September 16, 2025Open Access

Deffered rough i-statistical convergence in l-fuzzy normed spaces

RAReena AntalChandigarh University MKManpreet KaurChandigarh University MCMeenakshi ChawlaChandigarh University

Key Points

Deferred rough statistical convergence offers a new perspective on sequence behavior, enhancing mathematical analysis.
Key concepts introduced include deferred rough ideal statistical limit points and cluster points in these spaces.
The study investigates the interplay of convexity and closedness with approximate statistical limit points.
Findings may have implications for mathematical theory and applications in fuzzy analysis and related fields.

Abstract

The present article devoted to explore the concept of deffered rough statistical convergence of sequences through ideals in L-fuzzy normed spaces. We introduce the notions of deffered rough ideal statistical limit points, deffered rough ideal cluster points, and deffered rough ideal boundedness within these spaces. Additionally, we examine the theory of convexity and closedness in relation to the set of approximate statistical limit points.

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