On deferred I-statistical rough convergence of difference sequences in intuitionistic fuzzy normed spaces

In this research article, using the concepts of deferred density and the notion of the ideal I, we extend the idea of rough convergence by introducing the notion of deferred I-statistical rough convergence via difference operators in the framework of intuitionistic fuzzy normed spaces. We define a set of limits of this convergence and prove that the limit set is convex and closed with respect to the intuitionistic fuzzy norm. Furthermore, we develop the concept of deferred I-statistical triangle jr-cluster point of a sequence in intuitionistic fuzzy normed spaces and investigate the relations between the set of these cluster points and the limit set of the aforementioned convergence.