In this paper, we have defined rough statistical convergence in intuitionistic fuzzy normed spaces which is an useful characterization the field of convergence. We proved some properties related to provides new functional tools situation uncertainty like spaces. Further, established relationship between set limit points and cluster statistically convergent sequences these

In this paper, we define the space Sαθ (∆mv, f) of all f)-lacunary statistical convergent sequences order α with help unbounded modulus function f, lacunary sequence (θ), generalized difference operator ∆ mv and real number ∈ (0, 1]. We also introduce ωαθ strong summable α. Properties related to these spaces are studied. Inclusion relations between ωα θ established under certain conditions.

In this paper we presents three definitions which is a natural combination of the definition of asymptotic equivalence, statistical convergence, lacunary statistical convergence, σ-statistical convergence and Wijsman convergence. In addition, we also present asymptotically equivalent sequences of sets in sense of Wijsman and study some properties of this concept.

In this paper we define concepts of statistical convergence and statistical Cauchy on probabilistic normed spaces. Then we give a useful characterization for statistically convergent sequences. Furthermore, we display an example such that our method of convergence is stronger than the usual convergence on probabilistic normed spaces. We also introduce statistical limit points, statistical clust...

Abstract We correct a logic mistake in our paper “On statistical convergence and strong Cesàro by moduli for double sequences” (León-Saavedra et al. J. Inequal. Appl. 2022:62, 2022).

In this paper we define f − αβ-statistical convergence of order γ in probability and αβ-strong p-Ces`aro summability for a sequence random variables under unbounded modulus function examine the relation between these two concepts. We show by an example that notion is stronger than probability.