Journal of Applied and Physical Sciences
Details
Journal ISSN: 2414-3103
Artical DOI: https://doi.org/10.20474/-japs2.1.4
Received: 31 October 2014
Accepted: 16 August 2015
Published: 15 October 2015
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  • A comparison of the accuracy of an adjusted fuzzy time series forecasting method with the traditional method application to Thailand rubber price

Kanittha Yimnak

Article first published online: 2015

Abstract

The modified approach on fuzzy time series, which is represented by Rajaram and Vamitha (2012), is applied to rubber price in Thailand. The developed forecasting method corresponds to the uncertain data. The nearest symmetric trapezoidal fuzzy numbers are used to further enhance the forecasting accuracy. The accuracy of this method is compared to the traditional method and actual values by the mean absolute percentage error (MAPE). The results show that the forecasts by the developed fuzzy time series forecasting method is more accuracy than the traditional method.