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New Methods for Uncertainty Representations in Neuro-Fuzzy Systems

  • Conference paper
Parallel Processing and Applied Mathematics (PPAM 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3019))

Abstract

In this paper we discuss a new method for uncertainty representations in neuro-fuzzy systems. Expert uncertainty concerning antecedent fuzzy linguistic values are expressed in the form of linguistic values e.g. roughly, more or less. That idea is incorporated into relational neuro-fuzzy systems. In the paper both type-1 and type-2 fuzzy systems are considered. Numerical simulations of the new fuzzy model are presented.

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Author information

Authors and Affiliations

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

    Rafał Scherer & Janusz Starczewski

  2. University of Louisville, Louisville, KY, 40292, USA

    Adam Gawęda

Authors
  1. Rafał Scherer
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  2. Janusz Starczewski
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  3. Adam Gawęda
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Editor information

Editors and Affiliations

  1. Institute of Computational and Information Sciences, Czestochowa University of Technology,  

    Roman Wyrzykowski

  2. Computer Science Department, University of Tennessee, TN 37996-3450, Knoxville, USA

    Jack Dongarra

  3. Systems Research Institute, Polish Academy of Science, Warsaw, Poland

    Marcin Paprzycki

  4. Informatics & Mathematical Modeling, Technical University of Denmark, DK-2800, Lyngby, Denmark

    Jerzy Waśniewski

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© 2004 Springer-Verlag Berlin Heidelberg

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Scherer, R., Starczewski, J., Gawęda, A. (2004). New Methods for Uncertainty Representations in Neuro-Fuzzy Systems. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_86

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  • DOI: https://doi.org/10.1007/978-3-540-24669-5_86

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21946-0

  • Online ISBN: 978-3-540-24669-5

  • eBook Packages: Springer Book Archive

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