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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2003, Vol. 4 Issue (5): 578-583    DOI: 10.1631/jzus.2003.0578
Mechanics & Control Technology     
Application of uncertainty reasoning based on cloud model in time series prediction
ZHANG Jin-chun, HU Gu-yu
Institute of Command Automation, PLA University of Science and Technology, Nanjing 210007, China
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Abstract  Time series prediction has been successfully used in several application areas, such as meteorological forecasting, market prediction, network traffic forecasting, etc., and a number of techniques have been developed for modeling and predicting time series. In the traditional exponential smoothing method, a fixed weight is assigned to data history, and the trend changes of time series are ignored. In this paper, an uncertainty reasoning method, based on cloud model, is employed in time series prediction, which uses cloud logic controller to adjust the smoothing coefficient of the simple exponential smoothing method dynamically to fit the current trend of the time series. The validity of this solution was proved by experiments on various data sets.

Key wordsTime series prediction      Cloud model      Simple exponential smoothing method     
Received: 03 September 2002     
CLC:  TP393  
Cite this article:

ZHANG Jin-chun, HU Gu-yu. Application of uncertainty reasoning based on cloud model in time series prediction. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2003, 4(5): 578-583.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2003.0578     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2003/V4/I5/578

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