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Defuzzification Using Area Method on L  ∞  Space

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5712))

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Abstract

The mathematical framework for studying of a fuzzy approximate reasoning is presented. One of the defuzzification methods besides the center of gravity method which is the best well known defuzzification method is described. The continuity of the defuzzification methods and its application to a fuzzy feedback control are discussed.

The paper was supported in part by Grant-in-Aid for Young Scientists (B) #19700225 from Japan Society for the Promotion of Science (JSPS).

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Author information

Authors and Affiliations

  1. University of Marketing and Distribution Sciences, Kobe, 651-2188, Japan

    Takashi Mitsuishi

  2. Shinshu University, Nagano, 380-8553, Japan

    Yasunari Shidama

Authors
  1. Takashi Mitsuishi
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  2. Yasunari Shidama
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Editor information

Editors and Affiliations

  1. University of Chile, Republica 701, 8370439, Santiago, Chile

    Juan D. Velásquez  & Sebastián A. Ríos  & 

  2. University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2009 Springer-Verlag Berlin Heidelberg

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Mitsuishi, T., Shidama, Y. (2009). Defuzzification Using Area Method on L  ∞  Space . In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_30

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  • DOI: https://doi.org/10.1007/978-3-642-04592-9_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04591-2

  • Online ISBN: 978-3-642-04592-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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