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Genetic BDD-oriented Pattern Classifiers

  • Witold Pedrycz
  • Zenon A. Sosnowski
Conference paper

Abstract

In this study, we introduce a BDD — based pattern classifier. The essence of the proposed approach lies in a binarization of continuous data representoin of an original classification data in the form of a binary decision diagram (BDD). The resulting BDD helps compress the data, reveal the most essential binary features and complete classification. It is shown that such BDDs can serve as a digital blueprint of the underlying classifiers.

Keywords

decision rules Binary Decision Diagrams Genetic Algorithms discretization granulation classifier 

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Witold Pedrycz
    • 1
    • 2
  • Zenon A. Sosnowski
    • 3
  1. 1.Dept of Electrical & Computer Eng.University of AlbertaEdmontonCanada
  2. 2.Systems Research InstitutePolish Academy of SciencesWarsawPoland
  3. 3.Department of Computer ScienceTechnical University of BialystokBialystokPoland

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