Analysis of seasonal time series using fuzzy approach
Vilém Novák, Martin Štěpnička, Antonı́n Dvořák, Irina Perfilieva, Viktor Pavliska, Lenka Vavříčková · International Journal of General Systems · 2010
A new methodology for the analysis and forecasting of time series is proposed. It directly employs two soft computing techniques: the fuzzy transform and the perception-based logical deduction. Thanks to the use of both these methods, and to the innovative approach, consisting of the construction of several independent models, the methodology is successfully applicable to robust long-time predictions.