Quantitative Measurement for Fuzzy System to Input and Rule Perturbations

  • Dong-Jun Yu
  • Xiao-Jun Wu
  • Jing-Yu Yang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4114)


In practice, input and rule perturbation are two important factors that will heavily influence the performance of fuzzy system. Quantitatively measure the influence of these two kinds of perturbation on the input/output mapping relationship of fuzzy system has great significance, theoretically and practically. In this paper, a statistical-based quantitative measurement for input and rule perturbation is proposed. By using the proposed approach, influence of perturbations on fuzzy system can be computed quantitatively, analytically and efficiently. Simulation results demonstrate the effectiveness of the proposed approach.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dong-Jun Yu
    • 1
  • Xiao-Jun Wu
    • 2
  • Jing-Yu Yang
    • 1
  1. 1.School of Computer Science and TechnologyNanjing University of Science and TechnologyNanjingChina
  2. 2.School of Computer Science and TechnologyJiangsu University of Science and TechnologyZhenjiangChina

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