FRANTIC - A system for inducing accurate and comprehensible fuzzy rules

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dc.contributor.author Galea, Michelle
dc.contributor.author Shen, Qiang
dc.date.accessioned 2008-01-15T20:49:52Z
dc.date.available 2008-01-15T20:49:52Z
dc.date.issued 2004
dc.identifier.citation Galea , M & Shen , Q 2004 , ' FRANTIC - A system for inducing accurate and comprehensible fuzzy rules ' pp. 136-143 . en
dc.identifier.other PURE: 74726
dc.identifier.other dspace: 2160/430
dc.identifier.uri http://hdl.handle.net/2160/430
dc.description M. Galea and Q. Shen. FRANTIC - A system for inducing accurate and comprehensible fuzzy rules. Proceedings of the 2004 UK Workshop on Computational Intelligence, pages 136-143. en
dc.description.abstract An approach to fuzzy rule induction inspired by the foraging behaviour of ants is presented. The implemented system - FRANTIC - is tested on a real classification problem against two other fuzzy rule induction algorithms, one with an emphasis on rule comprehensibility, and the other on rule accuracy. The results obtained highlight FRANTIC’s ability to balance the tradeoff often encountered between predictive accuracy on the one hand, and ruleset comprehensibility on the other. FRANTIC’s actual and potential strength when applied to realworld large datasets is highlighted, while its limitations and the possible ways of overcoming them are also discussed. en
dc.format.extent 8 en
dc.language.iso eng
dc.relation.ispartof en
dc.title FRANTIC - A system for inducing accurate and comprehensible fuzzy rules en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Non peer reviewed en


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