Browsing by Author "Huang, Zhiheng"

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Browsing by Author "Huang, Zhiheng"

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  • Fuzzy Interpolation and Extrapolation: A Practical Approach 
    Shen, Qiang; Huang, Zhiheng (2008-02-26)
    Fuzzy interpolation does not only help to reduce the complexity of fuzzy models, but also makes inference in sparse rule-based systems possible. It has been successfully applied to systems control, but limited work exists ...
  • Fuzzy interpolation with generalized representative values 
    Shen, Qiang; Huang, Zhiheng (2004)
    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 ...
  • Fuzzy interpolative reasoning via scale and move transformation 
    Shen, Qiang; Huang, Zhiheng (2006-04)
    Interpolative reasoning does not only help reduce the complexity of fuzzy models but also makes inference in sparse rule-based systems possible. This paper presents an interpolative reasoning method by means of scale and ...
  • Preserving Piece-wise Linearity in Fuzzy Interpolation 
    Shen, Qiang; Huang, Zhiheng (2005)
    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 ...
  • Preserving piece-wise linearity in fuzzy interpolation 
    Shen, Qiang; Huang, Zhiheng (IEEE, 2009-08)
    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, ...
  • Scale and move transformation-based fuzzy interpolative reasoning: A revisit 
    Huang, Zhiheng; Shen, Qiang (2004)
    This paper generalises the previously proposed interpolative reasoning method [5] to cover interpolations involving complex polygon, Gaussian or other bell-shaped fuzzy membership functions. This can be achieved by the ...
  • Transformation Based Interpolation with Generalized Representative Values 
    Shen, Qiang; Huang, Zhiheng (2005)
    Fuzzy interpolation offers the potential to model problems with sparse rule bases, as opposed to dense rule bases deployed in traditional fuzzy systems. It thus supports the simplification of complex fuzzy models and ...