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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99124


    Title: Residual analysis using Fourier series transform in Fuzzy time series model
    Authors: Tsaur, Ruey-Chyn
    Contributors: 淡江大學管理科學學系
    Keywords: Fuzzy time series;Residual analysis;Fourier series transform;Forecasting
    Date: 2014-06-01
    Issue Date: 2014-10-15 14:27:35 (UTC+8)
    Publisher: Zahedan: University of Sistan and Baluchistan
    Abstract: In this paper, we propose a new residual analysis method using Fourier series transform into fuzzy time series model for improving the forecasting performance. This hybrid model takes advantage of the high predictable power of fuzzy time series model and Fourier series transform to fit the estimated residuals into frequency spectra, select the low-frequency terms, filter out high-frequency terms, and then have well forecasting performance.
    Two numerical examples are given to show that our proposed model can be applied with the best forecasting performance than the other models.
    Relation: Iranian Journal of Fuzzy Systems 11(3), pp.43-54
    Appears in Collections:[管理科學學系暨研究所] 期刊論文

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