Type-2 fuzzy sets: geometric defuzzification and type-reduction

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dc.contributor.author Coupland, Simon en
dc.date.accessioned 2008-11-24T13:24:16Z
dc.date.available 2008-11-24T13:24:16Z
dc.date.issued 2007-02-01 en
dc.identifier.citation Coupland, S. (2007) Type-2 fuzzy sets: geometric defuzzification and type-reduction. Proceedings of IEEE Symposium on Foundations of Computational Intelligence, pp. 622-629.
dc.identifier.isbn 1424407036
dc.identifier.uri http://hdl.handle.net/2086/190
dc.description This paper presents the geometric defuzzifier for general type-2 fuzzy sets. This novel method has the potential to transform the fuzzy control paradigm. General type-2 fuzzy logic is better able to model noise and uncertainty but suffers from the massive computational cost of defuzzification. This paper uses geometry to eliminate this problem, paving the way for general type-2 fuzzy control. This paper was shortlisted for the best paper award at this prestigious international conference. en
dc.language.iso en en
dc.subject RAE 2008
dc.subject UoA 23 Computer Science and Informatics
dc.subject geometric defuzzifier
dc.title Type-2 fuzzy sets: geometric defuzzification and type-reduction en
dc.type Other en
dc.researchgroup Centre for Computational Intelligence

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