Fuzzy-arithmetic-based approach for extracting positive and negative linguistic rules from trained neural networks

@article{Ishibuchi1999FuzzyarithmeticbasedAF,
  title={Fuzzy-arithmetic-based approach for extracting positive and negative linguistic rules from trained neural networks},
  author={Hisao Ishibuchi and Manabu Nii and Kazuo Tanaka},
  journal={FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)},
  year={1999},
  volume={3},
  pages={1382-1387 vol.3}
}
Our method extracts linguistic rules from trained neural networks for high-dimensional pattern classification problems with continuous attributes. Characteristic features of our rule extraction method are as follows: (I)It can extract fuzzy if-then rules with linguistic interpretation. Extracted fuzzy if-then rules are always linguistically interpretable… CONTINUE READING