Preserving Piece-wise Linearity in Fuzzy Interpolation

dc.contributor.author	Shen, Qiang
dc.contributor.author	Huang, Zhiheng
dc.date.accessioned	2008-01-15T20:57:42Z
dc.date.available	2008-01-15T20:57:42Z
dc.date.issued	2005
dc.identifier.citation	Shen , Q & Huang , Z 2005 , ' Preserving Piece-wise Linearity in Fuzzy Interpolation ' pp. 105-112 .	en
dc.identifier.other	PURE: 74659
dc.identifier.other	dspace: 2160/432
dc.identifier.uri	http://hdl.handle.net/2160/432
dc.description	Z. Huang and Q. Shen. Preserving Piece-wise Linearity in Fuzzy Interpolation. Proceedings of the 2005 UK Workshop on Computational Intelligence, pages 105-112.	en
dc.description.abstract	Fuzzy interpolative reasoning serves as an important role in fuzzy modelling as it does not only help reduce rule number but also provides an inference mechanism for sparse rule bases. The preservation of piece-wise linearity is preferred as piece-wise linear results can be inferred from piece-wise linear rules and observations. This ensures safe ignoring of non-characteristic points in performing interpolations. However, almost all existing fuzzy interpolative reasoning methods do not preserve piecewise linearity for general polygonal fuzzy sets. This paper, based on the work of [1, 2], proposes a new interpolative method which preserves this property.	en
dc.format.extent	8	en
dc.language.iso	eng
dc.relation.ispartof		en
dc.title	Preserving Piece-wise Linearity in Fuzzy Interpolation	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