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Gerald Schaefer

Department of Computer Science, Loughborough University, UK

TALK: Hybrid fuzzy rule-based classification

Gerald Schaefer
Department of Computer Science
Loughborough University


Abstract: Many problems can be cast as pattern classification problems and consequently developing effective classifiers has become an important research area. Various techniques have been proposed to produce classifiers, however many of these appear to the user as "black boxes" which merely give a decision without any additional insight. In my talk, I will focus on fuzzy rule-based classification systems which generate simple if-then rules that can also be interpreted by the user. Since rule-based classifiers are prone to rule explosion, I will present hybrid techniques that utilise genetic algoriths in order to identify a compact yet effective fuzzy rule base. Example applications will include the classification of gene expression data and the use of fuzzy classifiers for breast cancer diagnosis.

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