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	Water quality prediction based on a novel fuzzy time series model and automatic clustering techniques
	Meng, Hui; Wang, Guoyin; Zhang, Xuerui; Deng, Weihui; Yan, Huyong; Jia, Ruoran
	2015
摘要	In recent years, Fuzzy time series models have been widely used to handle forecasting problems, such as forecasting exchange rates, stock index and the university enrollments. In this paper, we present a novel method for fuzzy forecasting designed with the use of the two key techniques, namely automatic clustering and the probabilities of trends of fuzzy trend logical relationships. The proposed method mainly utilizes the automatic clustering algorithm to partition the universe of discourse into different lengths of intervals, and calculates the probabilities of trends of fuzzy trend logical relationships. Finally, it performs the forecasting based on the probabilities that were obtained in the previous stages. We apply the presented method for forecasting the water temperature and potential of hydrogen of the Shing Mun River, Hong Kong. The experimental results show that the proposed method outperforms Chen’s and the conventional methods. © Springer International Publishing Switzerland 2015.
语种	英语
DOI	10.1007/978-3-319-25754-9_35
会议(录)名称	10th International Conference on Rough Sets and Knowledge Technology, RSKT 2015
页码	395-407
通讯作者	Wang, Guoyin (wangguoyin@cigit.ac.cn)
收录类别	EI
会议地点	Tianjin, China
会议日期	November 20, 2015 - November 23, 2015