Preserving Piece-wise Linearity in Fuzzy Interpolation

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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


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