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Optimization of SIRMs Fuzzy Model Using Łukasiewicz Logic

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Neural Information Processing (ICONIP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7664))

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Abstract

The purpose of this study is to prove the existence of single input rule modules which minimize the performance functional of the feedback control using SIRMs fuzzy reasoning method. A bounded product (Łukasiewicz t-norm) and a bounded sum (Łukasiewicz t-conorm) are applied to the operations in SIRMs fuzzy reasoning for interpreting “ands” and “ors” respectively.

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Author information

Authors and Affiliations

  1. University of Marketing and Distribution Sciences, Kobe, Japan

    Takashi Mitsuishi

  2. Center for Green Computing, Nagoya Institute of Technology, Nagoya, Japan

    Takanori Terashima

  3. Shinshu University, Nagano, Japan

    Yasunari Shidama

Authors
  1. Takashi Mitsuishi
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  2. Takanori Terashima
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  3. Yasunari Shidama
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Editor information

Editors and Affiliations

  1. Texas A&M University at Qatar, Education City, P.O. Box 23874, Doha, Qatar

    Tingwen Huang

  2. Department of Control Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, 430074, Wuhan, Hubei, China

    Zhigang Zeng

  3. College of Computer Science, Chongqing University, 174 Shazhengjie Street, 400044, Chongqing, China

    Chuandong Li

  4. Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong, China

    Chi Sing Leung

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© 2012 Springer-Verlag Berlin Heidelberg

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Mitsuishi, T., Terashima, T., Shidama, Y. (2012). Optimization of SIRMs Fuzzy Model Using Łukasiewicz Logic. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7664. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34481-7_14

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  • DOI: https://doi.org/10.1007/978-3-642-34481-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34480-0

  • Online ISBN: 978-3-642-34481-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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