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IJSTR >> Volume 9 - Issue 2, February 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Univariate Time Series Models For Fuel Price

[Full Text]



M. Sulaiga Beevi , K. Senthamarai Kannan , S. Syed Ali Fathima



Fuzzy Time Series, Double Exponential Smoothing, ARIMA and Forecasting.



any of the researcher, economist and a businessman currently exists interested in estimating the future of population, prices, national income etc. Accuracy of the future forecasts depends to a large extent on the success or failure. Hence the analysis of time series assumes just as great importance in the study of every single one economic problems.Here many methods are currently available in the literature to solve the problem of prediction. This study provides a detailed comparison of Fuzzy Time Series (FTS), Double Exponential Smoothing (DES) model and Auto Regressive Integrated Moving Average (ARIMA) model. Future values currently are forecasting using FTS, DES and ARIMA model. Forecasted values for Mean Square Error (MSE), Root Mean Square (RMSE), and Mean Absolute Percentage Error (MAPE) are calculated individually for all the three methods.



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