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2002

A fuzzy seasonal ARIMA model for forecasting

11 years 9 months ago
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
Fang-Mei Tseng, Gwo-Hshiung Tzeng
Added 19 Dec 2010
Updated 19 Dec 2010
Type Journal
Year 2002
Where FSS
Authors Fang-Mei Tseng, Gwo-Hshiung Tzeng
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