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New Method for Generation Type-2 Fuzzy Partition for FDT

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Artificial Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6113))

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Abstract

One of the most important tasks during application of fuzzy decision tree algorithms is to generate a fuzzy partition. In this paper, we introduce a new method to perform this task. The proposed method is a two stage process. The second stage is based on the classical Fuzzy C-means (FCM) clustering.

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Author information

Authors and Affiliations

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

    Łukasz Bartczuk, Piotr Dziwiński & Janusz T. Starczewski

  2. Institute of Information Technology, Academy of Management (SWSPiZ), ul. Sienkiewicza 9, 90-113, Lódź, Poland

    Janusz T. Starczewski

Authors
  1. Łukasz Bartczuk
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  2. Piotr Dziwiński
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  3. Janusz T. Starczewski
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Editor information

Editors and Affiliations

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

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź,, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  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

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

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© 2010 Springer-Verlag Berlin Heidelberg

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Bartczuk, Ł., Dziwiński, P., Starczewski, J.T. (2010). New Method for Generation Type-2 Fuzzy Partition for FDT. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_35

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  • DOI: https://doi.org/10.1007/978-3-642-13208-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13207-0

  • Online ISBN: 978-3-642-13208-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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