A comparison of the accuracy of an adjusted fuzzy time series forecasting method with the traditional method application to Thailand rubber price

Kanittha Yimnak
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Kanittha Yimnak: Department of Mathematics and Statistics, Dhurakij Pundit University, Thailand

Journal of Applied and Physical Sciences, 2016, vol. 2, issue 1, 25-31

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.

Keywords: Fuzzy Time Series; Thailand Rubber Price; Symmetric Trapezoidal Fuzzy Numbers; Traditional Method; Uncertain Data. (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:apb:japsss:2016:p:25-31

DOI: 10.20474/japs-2.1.4

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