Fuzzy interpolation with generalized representative values

dc.contributor.author	Huang, Zhiheng
dc.contributor.author	Shen, Qiang
dc.coverage.spatial	12	en
dc.date.accessioned	2006-05-02T17:38:18Z
dc.date.available	2006-05-02T17:38:18Z
dc.date.issued	2004
dc.identifier.citation	Z. 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.uri	http://hdl.handle.net/1842/912
dc.description.abstract	Fuzzy 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.extent	313253 bytes
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.subject	representative values	en
dc.subject	fuzzy interpolative reasoning	en
dc.title	Fuzzy interpolation with generalized representative values	en
dc.type	Article	en