Results 251 to 260 of about 867,116 (279)

On Rough Statistical Convergence of Complex Uncertain Sequences

New Mathematics and Natural Computation, 2021
Complex uncertain variables are measurable functions from an uncertainty space to the set of complex numbers and are used to model complex uncertain quantities. The main purpose of this paper is to introduce rough statistical convergence of complex uncertain sequences and study some convergence concepts namely rough statistical convergence in measure,
Shyamal Debnath, Bijoy Das
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Rough statistically convergent double sequences

AIP Conference Proceedings, 2012
In this paper, we define the concepts of rough statistical convergence and rough statistical Cauchy of a double sequence. Then we obtain a rough statistically Cauchy criterion for the real double sequences.
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On Convergence of Rough Sets

1992
Various considerations of analysis of knowledge by means of rough sets lead to the following situation: we are given a universe U along with a descending sequence of equivalence relations. We propose metrics for rough sets that make them into a complete metric space; the metric convergence encompasses and generalizes approximative convergence studied ...
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Rough Convergence in Metric Spaces

2017
In this paper, we have introduced the notion of rough convergence in general metric spaces and the set of rough limit points and proved several results associated with this set.
Shyamal Debnath, Debjani Rakshit
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Lacunary Statistical Convergence of Rough Variables in Trust

Journal of Uncertain Systems, 2023
The goal of this paper is to present the notions of lacunary statistically convergent sequence, lacunary statistically Cauchy sequence for fuzzy variables in trust space and also give the lacunary statistical completeness for trust space.
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Rough statistical convergence for generalized difference sequences

2023
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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ROUGH IDEAL CONVERGENCE

2014
In this paper we extend the notion of rough convergence using theconcept of ideals which automatically extends the earlier notions ofrough convergence and rough statistical convergence. We define the setof rough ideal limit points and prove several results associated with thisset.
PAL, Sudip Kumar, CH, Debraj, DUTTA, Sudipta   +2 more
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Statistical Convergence of Rough Variable

2021
In this paper, we present the concept of statisticallyconvergent sequences for rough variables. Furthermore, the relation between convergence statistically in trust and converges $\lambda$-statistically in trust is given. Also, some properties of statistically convergent sequences are discussed.
AVŞAR, Burak, SAVAŞ, Ekrem
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Kaba yakınsaklık = Rough convergence / [PDF]

Tez (Yüksek Lisans)- Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü, Matematik Anabilim Dalı, 2012.
Geçit, Fatma, 1987- 24654 author, Süleyman Demirel Üniversitesi. Fen Bilimleri Enstitüsü. Matematik Anabilim Dalı. 10117 issuing body, 22495 Aytar, Salih, 1975- thesis advisor   +2 more
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Rough $\Delta \mathcal{I}-$Convergence

2020
In this paper, we study the concept of rough $\mathcal{I}-$convergence for difference sequences in $\left( \mathbb{R}^{n},\left\Vert .\right\Vert \right) $ where $ \mathbb{R}^{n}$ denotes the real $n-$dimensional space with the norm $\left\Vert .\right\Vert $. At the same time, we examine some basic properties of the set $\mathcal{I}-\lim_{\Delta x_{I}}
GUMUS, Hafize, DEMİR, Nihal
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