Generalized Weighted Statistical Convergence for Double Sequences of Fuzzy Numbers and Associated Korovkin-Type Approximation Theorem

Author

Alotaibi, Abdullah

Source

Journal of Function Spaces

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

Mathematics

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