Title :
Redundant rules detection in EEG fuzzy classifier
Author_Institution :
Institute of Computer Science AS CR, Pod Vodárenskou vê¿Ã\xad 2, 182 07 Prague 8, Czech Republic
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.
Keywords :
Application software; Chromium; Computer science; Detection algorithms; Electroencephalography; Electronic mail; Fuzzy sets; Fuzzy systems; Monitoring; Spectrogram; EEG spectrograms; implicative fuzzy system; microsleeps detection; redundancy;
Conference_Titel :
Intelligent Engineering Systems, 2009. INES 2009. International Conference on
Conference_Location :
Barbados
Print_ISBN :
978-1-4244-4111-2
Electronic_ISBN :
978-1-4244-4113-6
DOI :
10.1109/INES.2009.4924758
