Redundant rules detection in EEG fuzzy classifier

  • Authors:

  • David Coufal

  • Affiliations:

  • Institute of Computer Science AS CR, Prague 8, Czech Republic

  • Venue:
  • INES'09 Proceedings of the IEEE 13th international conference on Intelligent Engineering Systems
  • Year:
  • 2009

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Abstract

In the paper we present the application of the redundancy detection algorithm for the purpose of simplification of rule base of a radial implicative fuzzy classifier. The classifier is built up to detect different levels of vigilance of car drivers. The classification is based on the analysis of EEG spectrograms.