Corpus ID: 14873116

Fuzzy rule base reduction

@inproceedings{Baranyi2000FuzzyRB,
  title={Fuzzy rule base reduction},
  author={P{\'e}ter Baranyi and Yeung Yam},
  year={2000}
}
  • Péter Baranyi, Yeung Yam
  • Published 2000
  • Computer Science
  • This technical report summarises the use of SVD based reduction for applications using generalised rational form. Some practical formulas are also introduced for using piece-wise linear antecedent sets. Fuzzy algorithms form popular engineering tool to large complex systems. For large rule bases exceeding direct operation capacity an extended algorithm is proposed here as well. 1. INTRODUCTION The quest to minimise the complexity of fuzzy rule base bases for reduced computation time and the… CONTINUE READING

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 27 CITATIONS

    Complexity reduction of singleton based neuro-fuzzy algorithm

    • Péter Baranyi, Kin Fong Lei, Yeung Yam
    • Computer Science
    • Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0
    • 2000

    A novel method for new membership function calculation in HOSVD-based reduction to improve the operation needs

    VIEW 2 EXCERPTS
    CITES BACKGROUND & METHODS

    Adaptation of TS fuzzy models without complexity expansion: HOSVD-based approach

    VIEW 6 EXCERPTS
    CITES BACKGROUND

    Fuzzy Rule-Based System through Granular Computing

    VIEW 2 EXCERPTS
    CITES METHODS

    Fuzzy Rule-Based System through Granular Computing

    VIEW 2 EXCERPTS
    CITES METHODS

    SVD-based complexity reduction to TS fuzzy models

    VIEW 10 EXCERPTS
    CITES BACKGROUND, METHODS & RESULTS

    SVD-based reduction to MISO TS models

    VIEW 5 EXCERPTS
    CITES BACKGROUND & METHODS

    FILTER CITATIONS BY YEAR

    2000
    2019

    CITATION STATISTICS

    • 1 Highly Influenced Citations

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 15 REFERENCES

    A general extension of fuzzy SVD rule base reduction using arbitrary inference algorithm

    Singular value-based approximation with Takagi-Sugeno type fuzzy rule base

    Singular value decomposition of linguistic symbol-array

    Size reduction by interpolation in fuzzy rule bases

    Fuzzy approximation via grid point sampling and singular value decomposition

    • Yeung Yam
    • Computer Science, Mathematics, Medicine
    • IEEE Trans. Syst. Man Cybern. Part B
    • 1997

    Kovács „ Fuzzy Control Identification Using SVD Reduction from Input - output Data in AGV Steering System ”

    • M. Mizumoto, P. Baranyi, Sz.
    • Joint EurofuseSoft and Intelligent Computing

    Kovács „ SVD Reduction of a Fuzzy Controller in an AGV Steering System

    • P. Baranyi, Y. Yam
    • 1999

    Practical Extension of the SVD Based Reduction Technique for Extremely Large Fuzzy Rule Bases ”

    • P. Baranyi, Sz.
    • IEEE Int . Workshop on Intelligent Signal Processing