This paper continues the development of the innovative method for time series analysis and forecasting using special soft-computing techniques: fuzzy (F-) 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 arbitrary time slots. Thanks to the firstdegree F-transform (F1-transform), this works even if the graph of the time series visually does not suggest a clear tendency. © 2013. The authors -Published by Atlantis Press.
CITATION STYLE
Novák, V., Pavliska, V., Perfilieva, I., & Stepnicka, M. (2013). F-transform and Fuzzy natural logic in time series analysis. In 8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research (Vol. 32, pp. 40–47). Atlantis Press. https://doi.org/10.2991/eusflat.2013.6
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