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dc.contributor.authorHuang, Zhiheng
dc.contributor.authorShen, Qiang
dc.coverage.spatial12en
dc.date.accessioned2006-05-02T17:38:18Z
dc.date.available2006-05-02T17:38:18Z
dc.date.issued2004
dc.identifier.citationZ. H. Huang and Q. Shen. Fuzzy interpolation with generalized representative values. In Proc. of the 2004 UK Workshop on Computational Intelligence, pages 161–171, 2004.en
dc.identifier.urihttp://hdl.handle.net/1842/912
dc.description.abstractFuzzy interpolative reasoning offers the potential to model problems using sparse rule bases, as opposed to dense rule bases deployed in traditional fuzzy systems. It thus supports the simplification of complex fuzzy models in terms of rule number and facilitates inferences when limited knowledge is available. This paper presents an interpolative reasoning method by means of scale and move transformations.en
dc.format.extent313253 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectrepresentative valuesen
dc.subjectfuzzy interpolative reasoningen
dc.titleFuzzy interpolation with generalized representative valuesen
dc.typeArticleen


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