Интеллектуальный анализ временных рядов. Ярушкина Н.Г - 141 стр.

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УлГТУ | Ульяновск

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141
9.
[Chen, 2004] Chen, S. M. A new method to forecast enrollments using fuzzy
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Moving Average models using Fuzzy logic and Artificial Neural Networks /
M. Khashei, M. Bijari , G. Rassi Ardali // Neurocomputing, 2008.
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[Own, 2005] Own, C. M. Forecasting fuzzy time series on a heuristic high-
order model / C. M. Own, P. T. Yu // Cybernetics and Systems: An Interna-
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[Перфильева, 2003] Перфильева, И. Нечеткое преобразование. /
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13.
[Perfilieva, 2006] Perfilieva, I. Fuzzy transforms: Theory and applications /
I. Perfilieva // Fuzzy Sets and Systems, 2006. – №157.
14.
[Şah, 2004] Şah, M. Forecasting Enrollment Model Based on First-Order
Fuzzy Time Series / M. Şah, K. Y. Degtiarev // Proc. Int. Conf. Computational
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[Tsaur, 2005] Tsaur, R. C. Fuzzy relation analysis in fuzzy time series model /
R. C. Tsaur, J. C. O. Yang, H. F. Wang // Computer and Mathematics with
Applications.– №49 (2005) . – Р. 539-548.
16.
[Chen, 2006] Chen, S. M. Forecasting enrollments of students by using fuzzy
time series and genetic algorithms / S. M. Chen, N. Y. Chung // Information
and Management Sciences, Vol. 17.– №.3, September, 2006. – Р. 1-17.
17.
[Jilani, 2007] Jilani, Tahseen Ahmed. Fuzzy Metric Approach for Fuzzy Time
Series Forecasting based on Frequency Density Based Partitioning / Tahseen
Ahmed Jilani, Syed Muhammad Aqil Burney, Cemal Ardil. // Proceedings of
World Academy of Science, Engineering and Technology, Vol. 23, 2007.
18.
[Xihao, 2008] Xihao, Sun. Average-based fuzzy time series models for fore-
casting Shanghai compound index / Sun Xihao, Li Yimin // World Journal of
Modelling and Simulation, Vol. 4 (2008) .– №2. – Р. 104-111.

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