On statistical fuzzy trigonometric Korovkin theory


In this study, we use regular matrix transformations in the approximation by fuzzy positive linear operators, where the test functions are trigonometric. So we prove a trigonometric fuzzy Korovkin theorem by means of A-statistical convergence, where A is a non-negative regular summability matrix. We also study rates of A-statistical convergence of a sequence of fuzzy positive linear operators in the trigonometric environment. Copyright 2008 Eudoxus Press, LLC.

Publication Title

Journal of Computational Analysis and Applications

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