Rough lacunary statistical convergence in neutrosophic normed spaces

被引：1
|
作者：
Khan, Vakeel A. [1 ]
Rahaman, Sk Ashadul [1 ]
Hazarika, Bipan [2 ]
Alam, Masood [3 ,4 ]
机构：
[1] Aligarh Muslim Univ, Dept Math, Aligarh, India
[2] Gauhati Univ, Dept Math, Gauhati, India
[3] Sultan Qaboos Univ, Dept Math, Muscat, Oman
[4] Sultan Qaboos Univ, IT Ctr Preparatory Studies, Muscat, Oman
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2023年 / 45卷 / 05期
关键词：
Neutrosophic normed space; statistical convergence; rough convergence; rough lacunary statistical convergence;
D O I：
10.3233/JIFS-222548
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we address some imprecisions in the definition of neutrosophic normed space proposed by Kirisci and Simsek [16], Definition 4. We propose a modification to the definition and introduce the notion of rough lacunary statistical convergence in the neutrosophic normed space. Furthermore, we present the idea of rough lacunary statistical cluster points in neutrosophic normed spaces and investigate the relationship between the set of these cluster points and the set of rough lacunary statistical limit points of the aforementioned convergence.
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页码：7335 / 7351
页数：17
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