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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

Author

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  • Kanittha Yimnak

    (Department of Mathematics and Statistics, Dhurakij Pundit University, Thailand)

Abstract

The modified approach on fuzzy time series, which is represented by [3], 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.

Suggested Citation

  • Kanittha Yimnak, 2016. "A comparison of the accuracy of an adjusted fuzzy time series forecasting method with the traditional method application to Thailand rubber price," Journal of Applied and Physical Sciences, Prof. Vakhrushev Alexander, vol. 2(1), pages 25-31.
    • Handle: RePEc:apb:japsss:2016:p:25-31
    DOI: 10.20474/japs-2.1.4
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    Cited by:

    1. Kesinee Muenthaisong & Teeraporn Leemanonwaracha, 2016. "An Investigation of China's Import Demand for Technically Speci edNatural Rubber (TSR) from Thailand," International Journal of Business and Economic Affairs (IJBEA), Sana N. Maswadeh, vol. 1(1), pages 21-28.

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