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ISSN : 1226-0657

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Vol.19 No.1
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FINANCIAL TIME SERIES FORECASTING USING FUZZY REARRANGED INTERVALS

Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics / Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics, (P)1226-0657; (E)2287-6081
2012, v.19 no.1, pp.7-21
https://doi.org/10.7468/jksmeb.2012.19.1.7
Jung, Hye-Young
Yoon, Jin-Hee
Choi, Seung-Hoe
Jung,, H. , Yoon,, J. , & Choi,, S. (2012). FINANCIAL TIME SERIES FORECASTING USING FUZZY REARRANGED INTERVALS. Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics, 19(1), 7-21, https://doi.org/10.7468/jksmeb.2012.19.1.7
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Abstract

The fuzzy time series is introduced by Song and Chissom([8]) to construct a pattern for time series with vague or linguistic value. Many methods using the interval and fuzzy logical relationship related with historical data have been suggested to enhance the forecasting accuracy. But they do not fully reflect the fluctuation of historical data. Therefore, we propose the interval rearranged method to reflect the fluctuation of historical data and to improve the forecasting accuracy of fuzzy time series. Using the well-known enrollment, the proposed method is discussed and the forecasting accuracy is evaluated. Empirical studies show that the proposed method in forecasting accuracy is superior to existing methods and it fully reflects the fluctuation of historical data.

keywords
fuzzy time series, forecasting, rearranged interval method, fluctuation

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Journal of the Korean Society of Mathematical Education Series B: The Pure and Applied Mathematics

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