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Fuzzy Rules Generation Method for Pattern Recognition Problems

  • Dmitry Kropotov
  • Dmitry Vetrov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4578)

Abstract

In the paper we consider the problem of automatic fuzzy rules mining. A new method for generation of fuzzy rules according to the set of precedents is suggested. The proposed algorithm can find all significant rules with respect to wide range of reasonable criterion functions. We present the statistical criterion for knowledge quality estimation that provides high generalization ability. The theoretical results are complemented with the experimental evaluation.

Keywords

Data-mining Artificial intelligence Fuzzy sets Knowledge generation Rules optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Dmitry Kropotov
    • 1
  • Dmitry Vetrov
    • 1
  1. 1.Dorodnicyn Computing Centre of the Russian Academy of Sciences, 119991, Russia, Moscow, Vavilov str. 40 

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