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Exclusion/Inclusion Fuzzy Classification Network

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

Abstract

The paper introduces an exclusion/inclusion fuzzy classification neural network. The network is based on our GFMM [3] and it allows for two distinct types of hyperboxes to be created: inclusion hyperboxes that correspond directly to those considered in GFMM, and exclusion hyperboxes that represent contentious areas of the pattern space. The subtraction of the exclusion hyperboxes from the inclusion hyperboxes, implemented by EFC, provides for a more efficient coverage of complex topologies of data clusters.

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References

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Author information

Authors and Affiliations

  1. The Nottingham Trent University, Nottingham, NG1 4BU, UK

    Andrzej Bargiela

  2. University of Alberta, Edmonton, Canada

    Witold Pedrycz

  3. Systems Research Institute, Polish Academy of Sciences, Poland

    Witold Pedrycz

  4. Konan University, 8-9-1 Okamoto, Higashinada-ku, Kobe, Japan

    Masahiro Tanaka

Authors
  1. Andrzej Bargiela
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  2. Witold Pedrycz
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  3. Masahiro Tanaka
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Bargiela, A., Pedrycz, W., Tanaka, M. (2003). Exclusion/Inclusion Fuzzy Classification Network. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_167

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_167

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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