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Knowledge Acquisition and Processing: New Methods for Neuro-Fuzzy Systems

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SOFSEM 2004: Theory and Practice of Computer Science (SOFSEM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2932))

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Abstract

The paper presents some new methods of knowledge acquisition and processing with regard to neuro-fuzzy systems. Various connectionist architectures that reflect fuzzy IF-THEN rules are considered. The so-called flexible neuro-fuzzy systems are described, as well as relational systems and probabilistic neural networks. Other connectionist systems, such hierarchical neuro-fuzzy systems, type 2 systems, and hybrid rough-neuro-fuzzy systems are mentioned. Finally, the perception-based approach, which refers to computing with words and perceptions, is briefly outlined. Within this framework, a multi-stage classification algorithm and a multi-expert classifier are proposed.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Technical University of Czestochowa, Armii Krajowej 36, 42-200, Czestochowa, Poland

    Danuta Rutkowska

  2. Department of Artificial Intelligence, WSHE University in Lodz, Rewolucji 1905, 52, 90-213, Lodz, Poland

    Danuta Rutkowska

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  1. Danuta Rutkowska
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Editors and Affiliations

  1. Faculty of Sciences, ILLC - Department of Mathematics and Computer Science, University of Amsterdam, Plantage Muidergracht 24, 1018 TV, Amsterdam, The Netherlands

    Peter Van Emde Boas

  2. Faculty of Mathematics and Physics, Charles University, Prague

    Jaroslav Pokorný

  3. Institute of Informatics and Software Engineering Faculty of Informatics and Information technologies, Slovak University of Technology, Ilkovičova 3, 842 16, Bratislava

    Mária Bieliková

  4. Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod Vodárenskou věží 2, 182 07, Prague 8 Czech Republic

    Július Štuller

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Rutkowska, D. (2004). Knowledge Acquisition and Processing: New Methods for Neuro-Fuzzy Systems. In: Van Emde Boas, P., Pokorný, J., Bieliková, M., Štuller, J. (eds) SOFSEM 2004: Theory and Practice of Computer Science. SOFSEM 2004. Lecture Notes in Computer Science, vol 2932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24618-3_7

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  • DOI: https://doi.org/10.1007/978-3-540-24618-3_7

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  • Print ISBN: 978-3-540-20779-5

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