Geometric type-1 and type-2 fuzzy logic systems

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dc.contributor.author Coupland, Simon en
dc.contributor.author John, Robert, 1955- en
dc.date.accessioned 2008-11-24T13:24:18Z
dc.date.available 2008-11-24T13:24:18Z
dc.date.issued 2007-02-01 en
dc.identifier.citation Coupland, S. & John, R.I. (2007) Geometric type-1 and type-2 fuzzy logic systems. IEEE Transactions on Fuzzy Systems, 15(1), pp. 3-15.
dc.identifier.issn 1063-6706 en
dc.identifier.uri http://hdl.handle.net/2086/199
dc.description This paper describes how geometric primitives can be used to model type-1 and type-2 fuzzy sets. This novel approach gives the fuzzy community a new computational model for processing fuzzy systems. The impact of this paper comes from the type-2 geometric model. The computational complexity of type-2 fuzzy systems is notoriously high. The geometric approach gives a real opportunity for a massive reduction in this computation, some of which is demonstrated. The increased accuracy of the geometric approach is also demonstrated with examples. This result has appeared in one of the leading journals in the field with impact factor 1.803 en
dc.language.iso en en
dc.publisher IEEE en
dc.subject RAE 2008
dc.subject UoA 23 Computer Science and Informatics
dc.subject computational geometry
dc.subject geometric approach
dc.subject type-2 fuzzy logic
dc.title Geometric type-1 and type-2 fuzzy logic systems en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1109/TFUZZ.2006.889764 en
dc.researchgroup Centre for Computational Intelligence


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