Redundant rules detection in EEG fuzzy classifier
David Coufal · 2009
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.