On αβ-Statistical Convergence for Sequences of Fuzzy Mappings and Korovkin Type Approximation Theorem


Ali Karaisa, Ugur Kadak




Upon prior investigation on statistical convergence of fuzzy sequences, we study the notion of pointwise αβ-statistical convergence of fuzzy mappings of order γ. Also, we establish the concept of strongly αβ-summable sequences of fuzzy mappings and investigate some inclusion relations. Further, we get an analogue of Korovkin-type approximation theorem for fuzzy positive linear operators with respect to αβ-statistical convergence. Lastly, we apply fuzzy Bernstein operator to construct an example in support of our result.