Deffered rough $\mathcal{i}$-statistical convergence in $\mathcal{l}$-fuzzy normed spaces

The present article devoted to explore the concept of deffered rough statistical convergence of sequences through ideals in $\mathcal{L}$-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.