Lacunary statistical convergence of uncertain fuzzy number sequences via Orlicz function

This paper presented the concept of lacunary statistical convergence of a uncertain sequence of fuzzy numbers via the orlicz function. We explored different types of convergence-like convergence in measure, in mean, in distribution, and in uniformly almost surely. Additionally, we made an effort to provide illustrative examples that elucidated the interrelations among these convergence.

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Publication Details

Journal
Mathematical Foundations of Computing
Published
2024-12-10
DOI
https://doi.org/10.3934/mfc.2024047
Citations
2
Primary Topic
Approximation Theory and Sequence Spaces
Type
article
Field-Weighted Citation Impact
1.42
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article

Lacunary statistical convergence of uncertain fuzzy number sequences via Orlicz function

Kuldip Raj, Ayhan Eşi, Samrati Gorka
2 citations
Mathematical Foundations of Computing
Approximation Theory and Sequence Spaces
1.42
article

Lacunary statistical convergence of uncertain fuzzy number sequences via Orlicz function

Kuldip Raj, Ayhan Eşi, Samrati Gorka
article en
2 citations

Abstract

This paper presented the concept of lacunary statistical convergence of a uncertain sequence of fuzzy numbers via the orlicz function. We explored different types of convergence-like convergence in measure, in mean, in distribution, and in uniformly almost surely. Additionally, we made an effort to provide illustrative examples that elucidated the interrelations among these convergence.

Mathematical Foundations of ComputingVol. 8(6)
Shri Mata Vaishno Devi University (IN), Turgut Özal University (TR)
Reduced inequalities
Openalex Percentile: Top 16%
Approximation Theory and Sequence Spaces
1.42
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