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Data-Driven Design of Type-2 Fuzzy Logic System by Merging Type-1 Fuzzy Logic Systems

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Neural Information Processing (ICONIP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9949))

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Abstract

Type-2 fuzzy logic systems (T2 FLSs) have shown their superiorities in many real-world applications. With the exponential growth of data, it is a time consuming task to directly design a satisfactory T2 FLS through data-driven methods. This paper presents an ensembling approach based data-driven method to construct T2 FLS through merging type-1 fuzzy logic systems (T1 FLSs) which are generated using the popular ANFIS method. Firstly, T1FLSs are constructed using the ANFIS method based on the sub-data sets. Then, an ensembling approach is proposed to merge the constructed T1 FLSs in order to generate a T2 FLS. Finally, the constructed T2 FLS is applied to a wind speed prediction problem. Simulation and comparison results show that, compared with the well-known BPNN and ANFIS, the proposed method have similar performance but greatly reduced training time.

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Acknowledgments

This work is supported by National Natural Science Foundation of China (61473176, and 61573225), and the Natural Science Fund of Shandong Province for Outstanding Young Talents in Provincial Universities (ZR2015JL021).

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Authors and Affiliations

  1. School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, China

    Chengdong Li, Li Wang, Zixiang Ding & Guiqing Zhang

Authors
  1. Chengdong Li
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  2. Li Wang
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  3. Zixiang Ding
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  4. Guiqing Zhang
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Corresponding author

Correspondence to Chengdong Li .

Editor information

Editors and Affiliations

  1. The University of Tokyo , Tokyo, Japan

    Akira Hirose

  2. Kobe University , Kobe, Japan

    Seiichi Ozawa

  3. Okinawa Institute of Science and Technology Graduate University, Onna, Japan

    Kenji Doya

  4. Nara Institute of Science and Technology , Ikoma, Japan

    Kazushi Ikeda

  5. Kyungpook National University , Daegu, Korea (Republic of)

    Minho Lee

  6. Chinese Academy of Sciences , Beijing, China

    Derong Liu

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Li, C., Wang, L., Ding, Z., Zhang, G. (2016). Data-Driven Design of Type-2 Fuzzy Logic System by Merging Type-1 Fuzzy Logic Systems. In: Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (eds) Neural Information Processing. ICONIP 2016. Lecture Notes in Computer Science(), vol 9949. Springer, Cham. https://doi.org/10.1007/978-3-319-46675-0_32

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  • DOI: https://doi.org/10.1007/978-3-319-46675-0_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46674-3

  • Online ISBN: 978-3-319-46675-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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