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International Conference on Rough Sets and Knowledge Technology

RSKT 2015: Rough Sets and Knowledge Technology pp 395–407Cite as

Water Quality Prediction Based on a Novel Fuzzy Time Series Model and Automatic Clustering Techniques

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9436))

Abstract

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.

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Acknowledgments

This work is supported by the National Science and Technology Major Project (2014ZX07104-006) and the Hundred Talents Program of CAS (NO. Y21Z110A10)

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Authors and Affiliations

  1. Big Data Mining and Applications Center, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China

    Hui Meng, Guoyin Wang, Xuerui Zhang, Weihui Deng, Huyong Yan & Ruoran Jia

Authors
  1. Hui Meng
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  2. Guoyin Wang
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  3. Xuerui Zhang
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  4. Weihui Deng
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  5. Huyong Yan
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  6. Ruoran Jia
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Corresponding author

Correspondence to Guoyin Wang .

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Editors and Affiliations

  1. University of Milano-Bicocca, Milano, Italy

    Davide Ciucci

  2. Chongqing University of Posts and Telecommunications, Chongqing, China

    Guoyin Wang

  3. Indian Statistical Institute, Kolkata, India

    Sushmita Mitra

  4. Zhejiang Ocean University, Zhejiang, China

    Wei-Zhi Wu

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Meng, H., Wang, G., Zhang, X., Deng, W., Yan, H., Jia, R. (2015). Water Quality Prediction Based on a Novel Fuzzy Time Series Model and Automatic Clustering Techniques. In: Ciucci, D., Wang, G., Mitra, S., Wu, WZ. (eds) Rough Sets and Knowledge Technology. RSKT 2015. Lecture Notes in Computer Science(), vol 9436. Springer, Cham. https://doi.org/10.1007/978-3-319-25754-9_35

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  • DOI: https://doi.org/10.1007/978-3-319-25754-9_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25753-2

  • Online ISBN: 978-3-319-25754-9

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