This talk is devoted to a method for forecasting of the trend-cycle of time series based on the application of a combination of the higher degree fuzzy transform and fuzzy natural logic (FNL) techniques. The main idea is to predict future components of the direct fuzzy transform of a time series. The forecast of trend-cycle is then computed using the inverse fuzzy transform applied to the predicted components.