SOME REMARKS ON ROUGH STATISTICAL \(\Lambda\)-CONVERGENCE OF ORDER \(\alpha\) [PDF]
The main purpose of this work is to define Rough Statistical \(\Lambda\)-Convergence of order \(\alpha ...
Reena Antal +2 more
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I-Statistical Rough Convergence of Order α
The aim of this paper is to define the concept of I-statistical (I-st) rough convergence of order α (0 < α ≤ 1). It proposes the concept of I-st bounded of order α.
Sevcan Bulut, Aykut Or
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Rough I2 ${I}_{2}$-lacunary statistical convergence of double sequences [PDF]
In this paper, we introduce and study the notion of rough I2 $\mathcal {I}_{2}$-lacunary statistical convergence of double sequences in normed linear spaces.
Ömer Kişi, Erdinç Dündar
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Rough statistical convergence on triple sequence of the Bernstein operator of random variables in probability [PDF]
This paper aims to improve further on the work of Phu (2001), Aytar (2008), and Ghosal (2013). We propose a new apporach to extend the application area of rough statistical convergence usually used in triple sequence of the Bernstein operator of real ...
Nagarajan Subramanian +2 more
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Rough statistical convergence of double sequences in intuitionistic fuzzy normed spaces
This paper proposes rough convergence and rough statistical convergence of a double sequence in intuitionistic fuzzy normed spaces. It then defines the rough statistical limit points and rough statistical cluster points of a double sequence in these ...
Aykut Or, Ahmet Özcan
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Rough I_((λ,μ) )-Statistical Convergence of Double Sequences in Gradual Normed Linear Spaces
The aim of this paper is to we examine the notion of gradually rough I_((λ,μ) )-statistical convergence of double sequences in gradual normed linear spaces (GNLS).
Chiranjib Choudhury, Ömer Kişi
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On I-statistically rough convergence
We introduce rough I-statistical convergence as an extension of rough convergence. We define the set of rough I-statistical limit points of a sequence and analyze the results with proofs.
Ekrem Savaş +2 more
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Rough I-statistical convergence of double sequence [PDF]
Modified documents appears ...
Prasanta Malik, Argha Ghosh
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ROUGH STATISTICAL CONVERGENCE IN NEUTROSOPHIC NORMED SPACES
In this study, Neutrophic normed spaces, which is one of the popular mathematics topics of recent times, is discussed. The Neutrosophic approach, which argues that it is insufficient to evaluate the problems in daily life as just right and wrong, is based on the principle that the degree of indecision should be taken into account.
Nazmiye Gönül Bilgin
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ROUGH STATISTICAL CONVERGENCE FOR GENERALIZED DIFFERENCE SEQUENCES GOKAY KARABACAK AND AYKUT OR [PDF]
Summary: In this work, we introduce the rough statistical convergence for normed linear spaces with generalized difference sequences. We also define the set of \(r\)-statistical limit points for generalized difference sequences and discuss some topological properties of this set.
OR, AYKUT, KARABACAK, GÖKAY
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