Fuzzy transform; F-transform; evaluative linguistic expressions; fuzzy natural logic

This paper continues development of the innovative method of time series analysis and forecasting using special soft-computing techniques: fuzzy transform and Fuzzy Natural Logic. We will demonstrate that the F-transform is a proper technique for extraction of the trend-cycle of time series. Furthermore, we will elaborate in more detail automatic generation of linguistic evaluation of its behavior in changing time slots. Thanks to the first-degree F-transform (F$^1$-transform), this works even if the graph of the time series visually does not suggest a clear tendency.