Fuzzy ARIMA model for forecasting the foreign exchange market

نویسندگان

  • Fang-Mei Tseng
  • Gwo-Hshiung Tzeng
  • Hsiao-Cheng Yu
  • Benjamin J. C. Yuan
چکیده

Considering the time-series ARIMA(p,d, q) model and fuzzy regression model, this paper develops a fuzzy ARIMA (FARIMA) model and applies it to forecasting the exchange rate of NT dollars to US dollars. This model includes interval models with interval parameters and the possibility distribution of future values is provided by FARIMA. This model makes it possible for decision makers to forecast the bestand worst-possible situations based on fewer observations than the ARIMA model. c © 2001 Elsevier Science B.V. All rights reserved.

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عنوان ژورنال:
  • Fuzzy Sets and Systems

دوره 118  شماره 

صفحات  -

تاریخ انتشار 2001