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In this paper, we show that fuzzy transform originally introduced for a transformation of complex spaces of functions to simpler ones can be used in the analysis of real stationary random processes. We will show that under certain assumptions the fuzzy transform may be used for an approximation of this type of stationary processes as well as for a reduction of their variability. The obtained results could help researches to understand better the analysis of time series based on fuzzy transform.

Analysis of stationary processes using fuzzy transform