Volume 8, Issue Supplement 1, December 2015, Pages 15 - 28
Forecasting Direction of Trend of a Group of Analogous Time Series Using F-Transform and Fuzzy Natural Logic
Vilém Novák, Irina Perfilieva
Received 28 April 2015, Accepted 26 October 2015, Available Online 1 December 2015.
- https://doi.org/10.1080/18756891.2015.1129575How to use a DOI?
- F-transform, time series, Fuzzy Natural Logic, evaluative linguistic expressions
- We present an idea to group time series according to similarity of their local trends and to predict future direction of the trend of all of them on the basis of forecast of only one representative. First, we assign to each time series an adjoint one, which consists of a sequence of the F1-transform components. Then, they are grouped together according to their similarity, a principal time series is selected in each group and its future course is forecasted. Finally, directions of trends of the other time series from the same group are computed using special methods of fuzzy natural logic.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Vilém Novák AU - Irina Perfilieva PY - 2015 DA - 2015/12 TI - Forecasting Direction of Trend of a Group of Analogous Time Series Using F-Transform and Fuzzy Natural Logic JO - International Journal of Computational Intelligence Systems SP - 15 EP - 28 VL - 8 IS - Supplement 1 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2015.1129575 DO - https://doi.org/10.1080/18756891.2015.1129575 ID - Novák2015 ER -