We present a prediction method based on Fuzzy Transforms to determine a mapping from the input-variables space into the output-variables space. We use this method for forecasting problems and we compare it with the well known Wang-Mendel’s one, which generates fuzzy rules from numerical datasets. Another comparison is made on the Local Linear Wavelet Neural Network method via forecasting time series. We apply these concepts to a Mackey-Glass chaotic time series and to the montly NAO climatic index time series.
Fuzzy transforms in prediction data analysis / Di Martino, F.; Loia, V.; Sessa, Salvatore. - In: FUZZY SETS AND SYSTEMS. - ISSN 0165-0114. - 180:1(2011), pp. 146-163. [10.1016/j.fss.2010.11.009]
Fuzzy transforms in prediction data analysis
F. Di Martino;SESSA, SALVATORE
2011
Abstract
We present a prediction method based on Fuzzy Transforms to determine a mapping from the input-variables space into the output-variables space. We use this method for forecasting problems and we compare it with the well known Wang-Mendel’s one, which generates fuzzy rules from numerical datasets. Another comparison is made on the Local Linear Wavelet Neural Network method via forecasting time series. We apply these concepts to a Mackey-Glass chaotic time series and to the montly NAO climatic index time series.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
