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Rough statistical convergence in neutrosophic normed spaces

P.G. and Research Department of Mathematics, Raja Doraisingam Govt. arts College, Sivagangai, affiliated to Alagappa university, Karaikudi, Tamilnadu, India.

Research Scholar, P.G. and Research Department of Mathematics, Raja Doraisingam Govt. arts College, Sivagangai, Affiliated to Alagappa university, Karaikudi, Tamilnadu, India.

* Corresponding Author
Annals of Communications in Mathematics 2023
, 6 (3),
177-190.
https://doi.org/10.62072/acm.2023.060303
Received: 30 August 2023 |
Accepted: 20 October 2023 |
Published: 31 October 2023

Abstract
Neutrosophic normed spaces, one of the recent hot issues in mathematics, are covered in this paper. The Neutrosophic approach is based on the idea that the degree of uncertainty should be taken into consideration and that it is insufficient to categorise problems in daily life as either right or wrong. This paper proposes double sequences’ rough statistical convergence in Neutrosophic Normed Spaces. It then specifies the rough statistical limit points and cluster points of a double sequence in these spaces. This paper then looks at some of their fundamental characteristics. The necessity for more research is finally covered.

Keywords

Cite This Article

M. Jeyaraman*, P. Jenifer.
Rough statistical convergence in neutrosophic normed spaces.

Annals of Communications in Mathematics,

2023,
6 (3):
177-190.
https://doi.org/10.62072/acm.2023.060303
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  • Copyright (c) 2023 by the Author(s). Licensee Techno Sky Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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