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Learning Methods for Type-2 FLS Based on FCM

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Artificial Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

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Abstract

This paper presents a new two-phase learning method for interval type-2 fuzzy logic systems. The method combines traditional learning approaches to type-1 fuzzy systems with fitting of interval memberships using FCM memberships. Two improving modifications of the proposed method are supplied additionally.

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References

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Author information

Authors and Affiliations

  1. Academy of Management (SWSPiZ), Institute of Information Technology, ul. Sienkiewicza 9, 90-113, Łódź, Poland

    Janusz T. Starczewski

  2. Department of Computer Engineering, Czestochowa University of Technology, Al. Armii Krajowej 36, 42-200, Czestochowa, Poland

    Janusz T. Starczewski, Łukasz Bartczuk & Piotr Dziwiński

  3. Cork Constraint Computation Centre (4C), University College Cork, Western Gateway Building, Cork, Ireland

    Antonino Marvuglia

Authors
  1. Janusz T. Starczewski
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  2. Łukasz Bartczuk
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  3. Piotr Dziwiński
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  4. Antonino Marvuglia
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź,, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics,, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA,  

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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© 2010 Springer-Verlag Berlin Heidelberg

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Starczewski, J.T., Bartczuk, Ł., Dziwiński, P., Marvuglia, A. (2010). Learning Methods for Type-2 FLS Based on FCM. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_29

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  • DOI: https://doi.org/10.1007/978-3-642-13208-7_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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