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Asian Conference on Intelligent Information and Database Systems

ACIIDS 2016: Intelligent Information and Database Systems pp 211–218Cite as

Mining Drift of Fuzzy Membership Functions

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9622))

Abstract

In this paper, the fuzzy c-means (FCM) clustering approach is adopted to find concept drift of fuzzy membership functions. The proposed algorithm is divided into two stages. In the first stage, the FCM approach is used to find appropriate fuzzy membership functions at different periods or at different places. Then in the second stage, the proposed algorithm compares the results in the first stage to find different types of drift of fuzzy membership functions. Experiments are also made to show the performance of the proposed approach.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National University of Kaohsiung, Kaohsiung City, Taiwan

    Tzung-Pei Hong, Min-Thai Wu & Yan-Kang Li

  2. Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung City, Taiwan

    Tzung-Pei Hong

  3. Department of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan

    Chun-Hao Chen

Authors
  1. Tzung-Pei Hong
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  2. Min-Thai Wu
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  3. Yan-Kang Li
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  4. Chun-Hao Chen
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Corresponding author

Correspondence to Tzung-Pei Hong .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

  3. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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© 2016 Springer-Verlag Berlin Heidelberg

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Hong, TP., Wu, MT., Li, YK., Chen, CH. (2016). Mining Drift of Fuzzy Membership Functions. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49390-8_20

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  • DOI: https://doi.org/10.1007/978-3-662-49390-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49389-2

  • Online ISBN: 978-3-662-49390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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