Results 221 to 230 of about 3,575,082 (253)
Rough statistical convergence in 2-normed spaces
Summary: In this study, we introduced the notions of rough statistical convergence and defined the set of rough statistical limit points of a sequence and obtained statistical convergence criteria associated with this set in 2-normed space. Then, we proved that this set is closed and convex in 2-normed space. Also, we examined the relations between the
Arslan, Mukaddes, Dundar, Erdinc Comma
openaire +4 more sources
Rough statistical convergence of complex uncertain triple sequence [PDF]
Summary: We investigate the rough statistical convergence of complex uncertain triple sequences in this research. We show three forms of rough statistically convergent complex uncertain triple sequences and rough \(\lambda^3\)-statistical convergence in measure, as well as other fundamental features.
GÜRDAL, Mehmet, Kişi, Ö.
core +5 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Rough statistical convergence of a sequence of random variables in probability
Afrika Matematika, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sanjoy Ghosal, Pratulananda Das
exaly +3 more sources
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 Gönul Bilgin
openaire +3 more sources
Weighted statistical rough convergence in normed spaces
Statistical convergence is a significant generalisation of the traditional convergence of real or complex valued sequences. Over the years, it has been studied by many authors and found many applications in various problems. In this paper we introduce a new concept about statistical rough convergence for sequences in normed spaces by using weighted ...
Bayram, Erdal +2 more
core +6 more sources
On rough I-statistical φ-convergence
2023In this paper, we introduce the concept of rough I-statistical ?-convergence of real numbers as a generalization of rough statistical convergence as well as I-statistical ?-convergence. We study some of its fundamental properties. We obtain some results for rough I-statistical ?-convergence by introducing the rough I-statistical-? limit set.
Kı?şı?, Ömer, Gürdal, Mehmet
openaire +2 more sources
On Rough Statistical Convergence of Complex Uncertain Sequences
New Mathematics and Natural Computation, 2021Complex 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
openaire +1 more source
Rough lacunary statistical convergence in neutrosophic normed spaces
Journal of Intelligent & Fuzzy Systems, 2023In this paper, we address some imprecisions in the definition of neutrosophic normed space proposed by Kirişçi and Şimşek [16], Definition 4. We propose a modification to the definition and introduce the notion of rough lacunary statistical convergence in the neutrosophic normed space.
Vakeel A. Khan +3 more
openaire +2 more sources
Lacunary Statistical Convergence of Rough Variables in Trust
Journal of Uncertain Systems, 2023The 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.
openaire +1 more source
Rough statistical convergence for generalized difference sequences
2023Summary: 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
openaire +2 more sources

