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Switching Fuzzy Classifier for Classification of EEG Spectrograms
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SYSNO ASEP 0320631 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Switching Fuzzy Classifier for Classification of EEG Spectrograms Title Přepínací fuzzy klasifikátor EEG signálů Author(s) Coufal, David (UIVT-O) RID, SAI, ORCID Source Title Proceedings of 9th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics. - Budapest : Budapest Tech, 2008 - ISBN 978-963-7154-82-9 Pages s. 143-150 Number of pages 8 s. Action CINTI 2008. International Symposium of Hungarian Researchers on Computational Intelligence and Informatics /9./ Event date 06.11.2008-08.11.2008 VEvent location Budapest Country HU - Hungary Event type WRD Language eng - English Country HU - Hungary Keywords fuzzy classifier ; classification tree ; EEG spectrograms Subject RIV AQ - Safety, Health Protection, Human - Machine R&D Projects 1F84B/042/520 GA MDS - Ministry of Transport (MD) CEZ AV0Z10300504 - UIVT-O (2005-2011) EID SCOPUS 84883102264 Annotation The paper introduces the concept of switching fuzzy classifier. The work of the classifier is demonstrated on the classification of EEG spectrograms in different levels of vigilance of car drivers. The switching mechanism is based on the combination of C4.5 classification trees algorithm with a fuzzy classifier. The structure of the classifier arises from the concept of radial fuzzy system with nominal consequents. The system as a whole can be seen as fuzzy classifier with dynamic levels of confidence in the individual fuzzy rules in rule base. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2009
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