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Residual analysis using Fourier series transform in Fuzzy time series model

عنوان مقاله: Residual analysis using Fourier series transform in Fuzzy time series model
شناسه ملی مقاله: JR_IJFS-11-3_004
منتشر شده در در سال 1393
مشخصات نویسندگان مقاله:

Ruey-Chyn Tsaur - Department of Management Sciences, Tamkang University, No.۱۵۱, Yingzhuan Rd., Tamsui Dist., New Taipei City ۲۵۱۳۷, Taiwan, R.O.C.

خلاصه مقاله:
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.

کلمات کلیدی:
Fuzzy time series, Residual analysis, Fourier series transform, Forecasting

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1470244/