F-transform and Fuzzy Natural logic in Time Series Analysis

DOI

10.2991/eusflat.2013.6How to use a DOI?

Keywords

Fuzzy transform F-transform evaluative linguistic expressions fuzzy natural logic

Abstract

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/eusflat.2013.6
ID  - Novak2013/08
ER  -