Is proposed a new method based on the inverse F-transform for prediction analysis of seasonal time series. Performance comparison with the traditional F-transform method, and the famous ARIMA methods are carried out; the results show that the better performances are obtained by using the proposed F-transform algorithm.
Fuzzy Transforms and Seasonal Time Series / DI MARTINO, Ferdinando. - (2016). (Intervento presentato al convegno International Workshop on Fuzzy Logic and Applications WILF 2016: Fuzzy Logic and Soft Computing Applications tenutosi a Napoli, Italy nel 19-21 dicembre 2016).
Fuzzy Transforms and Seasonal Time Series
ferdinando di martino
2016
Abstract
Is proposed a new method based on the inverse F-transform for prediction analysis of seasonal time series. Performance comparison with the traditional F-transform method, and the famous ARIMA methods are carried out; the results show that the better performances are obtained by using the proposed F-transform algorithm.File in questo prodotto:
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