NN-driven fuzzy reasoning

@article{Takagi1991NNdrivenFR,
  title={NN-driven fuzzy reasoning},
  author={Hideyuki Takagi and Isao Hayashi},
  journal={Int. J. Approx. Reasoning},
  year={1991},
  volume={5},
  pages={191-212}
}
A new fuzzy reasoning that can solve two problems of conventional fuzzy reasoning by combining an artificial neural network (NN) and fuzzy reasoning is proposed. These problems are (1) the lack of design for a membership function except a heuristic approach and (2) the lack of adaptability for possible changes in the reasoning environment. The proposed fuzzy reasoning approach solves these problems by using the learning function and nonlinearity of an NN. First, the problems involved in… CONTINUE READING
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