A fuzzy seasonal ARIMA model for forecasting

This paper proposes a fuzzy seasonal ARIMA (FSARIMA) forecasting model, which combines the advantages of the seasonal time series ARIMA (SARIMA) model and the fuzzy regression model. It is used to forecast two seasonal time series data of the total production value of the Taiwan machinery industry and the soft drink time series. The intention of this paper is to provide business which are a ected by diversi

• Type: Journal
• Year: 2002
• Where: FSS
• Authors: Fang-Mei Tseng, Gwo-Hshiung Tzeng
• Keywords: FSS 2002, Model, Seasonal Time Series, Time Series