A neural fuzzy system with fuzzy supervised learning

@article{Lin1996ANF,
  title={A neural fuzzy system with fuzzy supervised learning},
  author={Chin-Teng Lin and Ya-Ching Lu},
  journal={IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society},
  year={1996},
  volume={26 5},
  pages={744-63}
}
A neural fuzzy system learning with fuzzy training data (fuzzy if-then rules) is proposed in this paper. This system is able to process and learn numerical information as well as linguistic information. At first, we propose a five-layered neural network for the connectionist realization of a fuzzy inference system. The connectionist structure can house fuzzy logic rules and membership functions for fuzzy inference. We use alpha-level sets of fuzzy numbers to represent linguistic information… CONTINUE READING
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