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FIDs Classifier for Artificial Intelligence and Its Application

  • Conference paper
Algorithms and Architectures for Parallel Processing (ICA3PP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7440))

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Abstract

Fuzzy ID3 (FIDs) is popular and efficient method of making fuzzy decision trees in recent years. This paper presents FIDs algorithm for the precipitations during typhoon periods for a reservoir watershed. The FIDs was constructed as the quantitative precipitation forecast (QPF) model. This study also constructed the traditional C4.5 and the average statistical model (AVS) to compare with the performance by FIDs model. The steps involve collecting typhoon data, preprocessing the typhoon patterns, building QPF models, and training and testing the models. The experiment was in Shihmen Reservoir watershed. The results include the analysis of the 1-, 3-, and 6-hr accumulated rainfalls. The results showed that the superior RMSE and the categorical statistics of BIAS and ETS scores by using FIDs in contrast to those by using traditional C4.5 and AVS. Consequently, the FIDs model demonstrated its feasibility for predict rainfalls.

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Author information

Authors and Affiliations

  1. Department of Information Management, Toko University, No. 51, Sec. 2, University Rd., Pu-Tzu City, Chia-Yi County, 61363, Taiwan

    Chih-Chiang Wei

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  1. Chih-Chiang Wei
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Editor information

Editors and Affiliations

  1. School of Information Technology, Deakin University, Melbourne Burwood Campus, 221 Burwood Highway, 3125, Burwood, VIC, Australia

    Yang Xiang

  2. SEECS, University of Ottawa, 8, King Edward Ave, K1N 6N5, Ottawa, ON, Canada

    Ivan Stojmenovic

  3. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, Higashi-ku, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

  4. School of Information Science and Engineering, Central South University, 410083, Changsha, Hunan Province, P.R. China

    Guojun Wang

  5. Department of Information Engineering, Hiroshima University, 1-4-1, Kagamiyama, 739-8527, Higashi-Hiroshima, Japan

    Koji Nakano

  6. School of Information Technologies, University of Sydney, Building J12, 2006, Sydney, NSW, Australia

    Albert Zomaya

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© 2012 Springer-Verlag Berlin Heidelberg

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Wei, CC. (2012). FIDs Classifier for Artificial Intelligence and Its Application. In: Xiang, Y., Stojmenovic, I., Apduhan, B.O., Wang, G., Nakano, K., Zomaya, A. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2012. Lecture Notes in Computer Science, vol 7440. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33065-0_12

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  • DOI: https://doi.org/10.1007/978-3-642-33065-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33064-3

  • Online ISBN: 978-3-642-33065-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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