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

  • Shangzhu JinEmail author
  • Qiang Shen
  • Jun Peng


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.


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© 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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