On Rough Statistical Convergence in Neutrosophic Normed Spaces

被引：0

作者：

Antal R. ^{[1
]}

Chawla M. ^{[1
]}

Kumar V. ^{[1
]}

机构：

[1] Department of Mathematics, Chandigarh University, Punjab, Mohali

来源：

Neutrosophic Sets and Systems | 2024年 / 68卷

关键词：

Neutrosophic normed space; rough convergence; rough statistical convergence; statistical convergence;

D O I：

10.5281/zenodo.11479549

中图分类号：

学科分类号：

摘要：

In this paper, we have presented rough statistical convergence of sequence on neutrosophic normed spaces as an important convergence criterion. As neutrosophication can handle partially dependent components, partially independent components and even independent components involved in real-world problems. By examining some properties related to rough convergence in these spaces we provide some useful functional tools in the situations of inconsistency and indeterminacy in the real world. Further, we have established some equivalent conditions on the set of statistical limit points as well as on the set of cluster points in these spaces for rough statistically convergent sequences. © (2023), (University of New Mexico). All Rights Reserved.

引用

页码：324 / 343

页数：19

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