A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control

  title={A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control},
  author={Takeshi Yamakawa},
  journal={IEEE transactions on neural networks},
  volume={4 3},
In this tutorial, the utility of a fuzzy system is demonstrated by providing a broad overview, emphasizing analog mode hardware, along with a discussion of the author's original work. First, the difference between deterministic words and fuzzy words is explained as well as fuzzy logic. The description of the system using mathematical equations, linguistic rules, or parameter distributions (e.g., neural networks) is discussed. Fuzzy inference and defuzzification algorithms are presented, and… CONTINUE READING


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