Preserving Piece-wise Linearity in Fuzzy Interpolation

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dc.contributor.author Shen, Qiang
dc.contributor.author Huang, Zhiheng
dc.date.accessioned 2009-09-04T08:56:05Z
dc.date.available 2009-09-04T08:56:05Z
dc.date.issued 2009-09-04
dc.identifier.citation Shen , Q & Huang , Z 2009 , ' Preserving Piece-wise Linearity in Fuzzy Interpolation ' pp. 575-580 . en
dc.identifier.other PURE: 129189
dc.identifier.other dspace: 2160/2911
dc.identifier.uri http://hdl.handle.net/2160/2911
dc.description Z. Huang and Q. Shen. Preserving Piece-wise Linearity in Fuzzy Interpolation. Proceedings of the 18th International Conference on Fuzzy Systems (FUZZ-IEEE'09), pp. 575-580, 2009. en
dc.description.abstract Fuzzy interpolative reasoning plays an important role in fuzzy modelling as it not only helps to reduce the number of rules in a rule base, but also provides an inference mechanism for sparse rule bases. In interpolation, it is desirable to preserve piece-wise linearity as piece-wise linear results can thus be inferred from piece-wise linear rules and observations. This safely ensures the ignorance 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], proposes a new interpolative method which preserves this property. en
dc.format.extent 6 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.description.status Non peer reviewed en


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