Ideal convergence of sequences in neutrosophic normed spaces

被引：9
|
作者：
Kisi, Omer [1 ]
机构：
[1] Bartin Univ, Fac Sci, Dept Math, Bartin, Turkey
来源：
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS | 2021年 / 41卷 / 02期
关键词：
Neutrosophic normed spaced; ideal convergence; ideal Cauchy sequence; t-norm; t-conorm; STATISTICAL CONVERGENCE; FUZZY;
D O I：
10.3233/JIFS-201568
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Statistical convergence of sequences has been studied in neutrosophic normed spaces (NNS) by Kirisci and Simsek [39]. Ideal convergence is more general than statistical convergence for sequences. This has motivated us to study the ideal convergence in NNS. In this paper, we study the concept of ideal convergence and ideal Cauchy for sequences in NNS.
引用
收藏
页码：2581 / 2590
页数：10
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