Water quality prediction based on a novel fuzzy time series model and automatic clustering techniques

doi:10.1007/978-3-319-25754-9_35

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 大数据挖掘及应用中心

	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
会议日期	November 20, 2015 - November 23, 2015
会议地点	Tianjin, China
DOI	10.1007/978-3-319-25754-9_35
页码	395-407
通讯作者	Wang, Guoyin (wangguoyin@cigit.ac.cn)
英文摘要	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.
会议录	10th International Conference on Rough Sets and Knowledge Technology, RSKT 2015
语种	英语
电子版国际标准刊号	16113349
ISSN号	03029743
内容类型	会议论文
源URL	[http://119.78.100.138/handle/2HOD01W0/4840]
专题	大数据挖掘及应用中心
作者单位	Big Data Mining and Applications Center, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China
推荐引用方式 GB/T 7714	Meng, Hui,Wang, Guoyin,Zhang, Xuerui,et al. Water quality prediction based on a novel fuzzy time series model and automatic clustering techniques[C]. 见:. Tianjin, China. November 20, 2015 - November 23, 2015.