Fuzzy transform; smoothing filter; statistical analysis; white noise reduction

The paper is devoted to the smoothing of discrete functions using the fuzzy transform (shortly, F-transform) introduced by Perfilieva in [1]. We generalize a smoothing filter based on the fuzzy transform proposed in [2] to obtain a better control on the smoothed functions. For this purpose, a generalization of the concept of fuzzy partition is suggested and the smoothing filter is defined as a combination of the direct discrete F-transform and a slightly modified inverse continuous F-transform. Statistical properties including the description of the white noise reduction and the asymptotic expression of Bias and Var are investigated and discussed.