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ON GENERALIZED STATISTICAL CONVERGENCE OF SEQUENCES OF FUNCTIONS VIA IDEALS IN INTUITIONISTIC FUZZY NORMED SPACES

Authors: Kişi, Ömer; Akbıyık, Rumeysa; Gürdal, Mehmet; Kişi, Ömer; Kişi, Ömer;

ON GENERALIZED STATISTICAL CONVERGENCE OF SEQUENCES OF FUNCTIONS VIA IDEALS IN INTUITIONISTIC FUZZY NORMED SPACES

Abstract

This study examines ideal statistical convergence for sequences of functions within intuitionistic fuzzy normed spaces (IFNS). We introduce and analyze pointwise and uniform ideal statistical convergence in IFNS, exploring their relationships with ideal, statistical, and usual convergence of function sequences. Key properties are also established and discussed. © 2025 Elsevier B.V., All rights reserved.

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Turkey
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Keywords

Ponitwise Convergence, Sequences of Function, Uniform Convergence, Intuitionistic Fuzzy Normed Space, Ideal Statistical Convergence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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