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Genetic-Fuzzy Modeling on High Dimensional Spaces

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4251))

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Abstract

In this paper, in order to reduce the explosive increase of the search space as the input dimension grows, we present a new representation method for the structure of fuzzy rules, a graph structured fuzzy system. The graph structured fuzzy system can flexibly cope with the increase of the input space by selecting these fuzzy rules that significantly affects the input space among the whole set of fuzzy rules. To obtain the optimal structure and parameters of fuzzy systems, an approach to the automatic design of fuzzy systems based on L-systems is also proposed. The proposed method can efficiently construct fuzzy rules without any need for user interaction by using the rewriting mechanism of L-systems.

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References

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Author information

Authors and Affiliations

  1. Dept. of Computer Science Education, Catholic University of Daegu, 330 Geumnak, Hayang-eup, Gyeongsan-si, Gyeongbuk, 712-702, Korea

    Joon-Min Gil

  2. Dept. of Computer Science, Cheonan University, 115 Anseo-dong, Cheonan, 330-180, Korea

    Seong-Hoon Lee

Authors
  1. Joon-Min Gil
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  2. Seong-Hoon Lee
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Gil, JM., Lee, SH. (2006). Genetic-Fuzzy Modeling on High Dimensional Spaces. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892960_138

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  • DOI: https://doi.org/10.1007/11892960_138

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46535-5

  • Online ISBN: 978-3-540-46536-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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