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Modular Neuro-Fuzzy Systems Based on Generalized Parametric Triangular Norms

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Parallel Processing and Applied Mathematics (PPAM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6067))

Abstract

Neuro-fuzzy systems are used for modeling and classification thanks to their advantages such as interpretable knowledge and ability to learn from data. They are similar to neural networks but their design is structured depending on knowledge in the form of fuzzy rules. Final decision is inferred by fuzzy inference using triangular norms. The paper presents modular neuro-fuzzy systems based on parametric classes of generalized conjunction and disjunction operations. The proposed systems are better adjustable to data during learning. Part of this flexibility is achieved by the new operators what do not alter the original knowledge of fuzzy rules. The method described in the paper is tested on several known benchmarks.

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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

    Marcin Korytkowski & Rafał Scherer

  2. Olsztyn Academy of Computer Science and Management, ul. Artyleryjska 3c, 10-165, Olsztyn, Poland

    Marcin Korytkowski

Authors
  1. Marcin Korytkowski
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  2. Rafał Scherer
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Editor information

Editors and Affiliations

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

    Roman Wyrzykowski

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

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Dabrowskiego 73, PL-42-200, Czestochowa, Poland

    Konrad Karczewski

  4. Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, Building 321, 2800, Kongens Lyngby, Denmark

    Jerzy Wasniewski

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Korytkowski, M., Scherer, R. (2010). Modular Neuro-Fuzzy Systems Based on Generalized Parametric Triangular Norms. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14390-8_34

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  • DOI: https://doi.org/10.1007/978-3-642-14390-8_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14389-2

  • Online ISBN: 978-3-642-14390-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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