We present a new methodology to approximate a trapezoidal fuzzy numbers set by using radial basis functions (RBF s); the methodology uses different similarity indices to determine and compare the accuracy of the approximation of the fuzzy data. The method uses radial basis functions for defining some examples of two-dimension to compare its behavior by using the indices proposed for different configurations of the smoothing radial basis functions.