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Selection of Prototype Rules: Context Searching Via Clustering

  • Conference paper
Artificial Intelligence and Soft Computing – ICAISC 2006 (ICAISC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4029))

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Abstract

Prototype-based rules are an interesting alternative to fuzzy and crisp logical rules, in many cases providing simpler, more accurate and more comprehensible description of the data. Such rules may be directly converted to fuzzy rules. A new algorithm for generation of prototype-based rules is introduced and a comparison with results obtained by neurofuzzy systems on a number of datasets provided.

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Author information

Authors and Affiliations

  1. Division of Computer Methods, Department of Electrotechnology and Metallurgy, The Silesian University of Technology, Krasiñskiego 8, 40-019, Katowice, Poland

    Marcin Blachnik & Tadeusz Wieczorek

  2. Department of Informatics, Nicolaus Copernicus University, Grudziadzka 5, Toruń, Poland

    Włodzisław Duch

  3. School of Computer Engineering, Nanyang Technological University, Singapore

    Włodzisław Duch

Authors
  1. Marcin Blachnik
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  2. Włodzisław Duch
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  3. Tadeusz Wieczorek
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Editor information

Editors and Affiliations

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

    Leszek Rutkowski

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

    Ryszard Tadeusiewicz

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

    Lotfi A. Zadeh

  4. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Żurada

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© 2006 Springer-Verlag Berlin Heidelberg

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Blachnik, M., Duch, W., Wieczorek, T. (2006). Selection of Prototype Rules: Context Searching Via Clustering. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_60

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  • DOI: https://doi.org/10.1007/11785231_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35748-3

  • Online ISBN: 978-3-540-35750-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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