Volume : IV, Issue : VIII, August - 2014

Fuzzy Time Series Model and ARIMA Model–A Comparative Study

K. Senthamarai Kannan, E. Sakthivel

Abstract :

Forecasting or predicting is an essential tool in any decision making processes. The quality of forecasts management can make is strongly related to the information that be extracted and used from the past data. A comparative study has been carried out for Indian export data with two vast applications of forecasting namely, ARIMA time series Model and Fuzzy time series Model. Models are discussed for the fuzzy time series method includes the Heuristic Model, First Order Time – Invariant Fuzzy Time Series and Fuzzy Markov Chain. In This paper concluded that the fuzzy time series models is predict the values more accurately when the small set of data (when the sample period is shorter) than ARIMA models.

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Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

K. Senthamarai Kannan, E. Sakthivel Fuzzy Time Series Model and ARIMA Model - A Comparative Study Indian Journal of Applied Research, Vol.4, Issue.8 August 2014

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