F-transform and Fuzzy Natural logic in Time Series Analysis
Vilem Novak, Viktor Pavliska, Irina Perfilieva, Martin Stepnicka
Available Online August 2013.
- https://doi.org/10.2991/eusflat.2013.6How to use a DOI?
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Vilem Novak AU - Viktor Pavliska AU - Irina Perfilieva AU - Martin Stepnicka PY - 2013/08 DA - 2013/08 TI - F-transform and Fuzzy Natural logic in Time Series Analysis BT - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SP - 40 EP - 47 SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.6 DO - https://doi.org/10.2991/eusflat.2013.6 ID - Novak2013/08 ER -