A New Version of the Fuzzy-ID3 Algorithm

  • Łukasz Bartczuk
  • Danuta Rutkowska
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)


In this paper, a new version of the Fuzzy-ID3 algorithm is presented. The new algorithm allows to construct decision trees with smaller number of nodes. This is because of the modification that many different attributes and their values can be assigned to single leaves of the tree. The performance of the algorithm was checked on three typical benchmarks data available on the Internet.


Decision Tree Root Node Sepal Length Classical Decision Tree Sepal Width 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Łukasz Bartczuk
    • 1
  • Danuta Rutkowska
    • 1
    • 2
  1. 1.Department of Computer ScienceCzestochowa University of TechnologyPoland
  2. 2.Department of Knowledge Engineering and Computer IntelligenceAcademy of Humanities and Economics in LodzPoland

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