Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection

Pablo Alberto Dalbem de Castro, Daniel Monegatto Santoro, Heloisa de Arruda Camargo, Maria do Carmo Nicoletti. Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection. In 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 5-8 December 2004, Kitakyushu, Japan. pages 180-185, IEEE Computer Society, 2004. [doi]

@inproceedings{CastroSCN04,
  title = {Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection},
  author = {Pablo Alberto Dalbem de Castro and Daniel Monegatto Santoro and Heloisa de Arruda Camargo and Maria do Carmo Nicoletti},
  year = {2004},
  doi = {10.1109/ICHIS.2004.61},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICHIS.2004.61},
  tags = {rule-based, rules},
  researchr = {https://researchr.org/publication/CastroSCN04},
  cites = {0},
  citedby = {0},
  pages = {180-185},
  booktitle = {4th International Conference on Hybrid Intelligent Systems (HIS 2004), 5-8 December 2004, Kitakyushu, Japan},
  publisher = {IEEE Computer Society},
  isbn = {0-7695-2291-2},
}