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Transformation-Based Backward Fuzzy Rule Interpolation with a Single Missing Antecedent Value

  • Shangzhu Jin
  • Qiang Shen
  • Jun Peng
Chapter

Abstract

Fuzzy rule interpolation significantly improves the robustness of fuzzy reasoning. It provides a way to reduce the complexity of fuzzy systems by omitting those rules which can be approximated by their neighbouring ones.

References

  1. 1.
    S. Kovács, Special issue on fuzzy rule interpolation. J. Adv. Comput. Intell. Intell. Inform. 253 (2011)Google Scholar
  2. 2.
    S. Kovács, Fuzzy interpolation and extrapolation: a practical approach. IEEE Trans. Fuzzy Syst. 16(1), 13–28 (2008)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.College of Electrical and Information EngineeringChongqing University of Science and TechnologyChongqingChina
  2. 2.Institute of Mathematics, Physics and Computer ScienceAberystwyth UniversityAberystwythUK

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