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Generalized Weighted Statistical Convergence for Double Sequences of Fuzzy Numbers and Associated Korovkin-Type Approximation Theorem
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-08
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We define the notions of weighted λ,μ-statistical convergence of order γ1,γ2 and strongly weighted λ,μ-summability of γ1,γ2 for fuzzy double sequences, where 0<γ1,γ2≤1.
We establish an inclusion result and a theorem presenting a connection between these concepts.
Moreover, we apply our new concept of weighted λ,μ-statistical convergence of order γ1,γ2 to prove Korovkin-type approximation theorem for functions of two variables in a fuzzy sense.
Finally, an illustrative example is provided with the help of q-analogue of fuzzy Bernstein operators for bivariate functions which shows the significance of our approximation theorem.
American Psychological Association (APA)
Alotaibi, Abdullah. 2020. Generalized Weighted Statistical Convergence for Double Sequences of Fuzzy Numbers and Associated Korovkin-Type Approximation Theorem. Journal of Function Spaces،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1186024
Modern Language Association (MLA)
Alotaibi, Abdullah. Generalized Weighted Statistical Convergence for Double Sequences of Fuzzy Numbers and Associated Korovkin-Type Approximation Theorem. Journal of Function Spaces No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1186024
American Medical Association (AMA)
Alotaibi, Abdullah. Generalized Weighted Statistical Convergence for Double Sequences of Fuzzy Numbers and Associated Korovkin-Type Approximation Theorem. Journal of Function Spaces. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1186024
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186024