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Fuzzy Modelling with a Compromise Fuzzy Reasoning

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Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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Abstract

In the paper we study flexible neuro-fuzzy systems based on a compromise fuzzy implication. The appropriate neuro-fuzzy structures are developed and the influence of a compromise parameter on their performance is investigated. The results are illustrated on typical benchmarks.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Technical University of Czestochowa, Poland

    Krzysztof Cpalka & Leszek Rutkowski

  2. Department of Artificial Intelligence, WSHE University in Lodz, Poland

    Krzysztof Cpalka & Leszek Rutkowski

Authors
  1. Krzysztof Cpalka
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  2. Leszek Rutkowski
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Editor information

Editors and Affiliations

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

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  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

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© 2004 Springer-Verlag Berlin Heidelberg

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Cpalka, K., Rutkowski, L. (2004). Fuzzy Modelling with a Compromise Fuzzy Reasoning. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_39

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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