Experiments with Fuzzy Methods for Forecasting Time Series as Alternatives to Classical Methods

Even though forecasting methods have advanced in the last few decades, economists still face a simple question: which prediction method gives most accurate results? Econometric can deal with different types of time series and good results, but specific cases, they may fail to provide predictions. Recently, new techniques borrowed from soft computing area were adopted for economic forecasting. Starting importance forecasts, we present an experimental study where compared accuracy some used econometric methods, namely exponential smoothing, Holt ARIMA that two based on concept fuzzy series. We set extracted Eurostat database R software all data processing. The results experiments show despite not being fully superior techniques, could be considered as alternative