Rough statistical convergence in intuitionistic fuzzy normed spaces
Reena Antal, Meenakshi Chawla, Vijay Kumar
Abstract
In this paper, we have defined rough statistical convergence in intuitionistic fuzzy normed spaces which is an useful characterization in the field of statistical convergence. We have proved some properties related to rough convergence which provides some new functional tools in the situation of uncertainty like intuitionistic fuzzy normed spaces. Further, we have established the relationship between the set of statistical limit points and set of cluster points of rough statistically convergent sequences in these spaces.
Topics & Concepts
MathematicsConvergence (economics)Normed vector spaceModes of convergence (annotated index)Fuzzy setLimit (mathematics)Rough setFuzzy logicPure mathematicsDiscrete mathematicsTopological spaceMathematical analysisArtificial intelligenceTopological vector spaceIsolated pointComputer scienceEconomicsEconomic growthApproximation Theory and Sequence SpacesFixed Point Theorems Analysis