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Some Component Analysis Based on Fuzzy Relational Structure

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Fuzzy Logic and Applications (WILF 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2955))

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Abstract

Two component analysis methods based on the fuzzy relational structure are proposed. First one is a component analysis based on the decomposition of fuzzy relation into fuzzy bases. Second one corresponds to a component analysis based on the eigen fuzzy sets of fuzzy relation. It is confirmed that results of application of the proposed methods to images extracted from SIDBA and ’View Sphere Database’ are useful for various image application fields.

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Author information

Authors and Affiliations

  1. Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, 4259 Nagatsuta, Midiri-ku, Yokohama, 226-8502, Japan

    Hajime Nobuhara & Kaoru Hirota

Authors
  1. Hajime Nobuhara
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  2. Kaoru Hirota
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Editor information

Editors and Affiliations

  1. Stanford University, Department of Statistics, Stanford, CA, USA

    Vito Di Gesú

  2. Department of Computer and Information Sciences, University of Genova, and CNISM, Via Dodecaneso 35, I-16146, Genova, Italy

    Francesco Masulli

  3. Centro Direzionale, DSA, University of Naples Parthenope, Isola C/4, 80143, Naples, Italy

    Alfredo Petrosino

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© 2006 Springer-Verlag Berlin Heidelberg

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Nobuhara, H., Hirota, K. (2006). Some Component Analysis Based on Fuzzy Relational Structure. In: Di Gesú, V., Masulli, F., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2003. Lecture Notes in Computer Science(), vol 2955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10983652_35

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  • DOI: https://doi.org/10.1007/10983652_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31019-8

  • Online ISBN: 978-3-540-32683-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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