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FLAIRS
2001

A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming

12 years 5 months ago
A Framework for Evolving Fuzzy Classifier Systems Using Genetic Programming
Afuzzy classifier systemframeworkis proposedwhich employsa tree-based representation for fuzzy rule (classifier) antecedents and genetic programmingfor fuzzy rule discovery. Sucha rule representation is employedbecauseof the expressivepowerandgenerality it endowsto individual rules. Theframeworkproposes accuracy-basedfitness for individualfuzzyclassifiers and employs evolutionary competition between simultaneouslymatchedclassifiers. Theevolutionary algorithm(GP)is therefore searchingfor compactfuzzy rule baseswhichare simultaneouslygeneral,accurateand co-adapted. Additional extensions to the proposed frameworkare suggested.
Brian Carse, Anthony G. Pipe
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where FLAIRS
Authors Brian Carse, Anthony G. Pipe
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