Multivariate trigonometric Korovkin theorem within a fuzzy framework


Emre Taş, Selma Ekici




In this paper, the trigonometric fuzzy Korovkin theorem, originally established by G. A. Anastassiou and S. G. Gal (Nonlinear Functional Analysis and Applications, 11 (2006), 385–395), is extended to the $k$-dimensional setting. The proof is based on a new approach that differs from the original one and does not rely on the fuzzy modulus of continuity. An illustrative example is included to confirm the applicability and validity of the proposed generalization.