An extraction method for the characterization of the Fuzzy Rule Based Classification Systems' behavior using data complexity measures: A case of study with FH-GBML

Julián Luengo, Francisco Herrera. An extraction method for the characterization of the Fuzzy Rule Based Classification Systems' behavior using data complexity measures: A case of study with FH-GBML. In FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings. pages 1-8, IEEE, 2010. [doi]

@inproceedings{LuengoH10-0,
  title = {An extraction method for the characterization of the Fuzzy Rule Based Classification Systems' behavior using data complexity measures: A case of study with FH-GBML},
  author = {Julián Luengo and Francisco Herrera},
  year = {2010},
  doi = {10.1109/FUZZY.2010.5584810},
  url = {http://dx.doi.org/10.1109/FUZZY.2010.5584810},
  researchr = {https://researchr.org/publication/LuengoH10-0},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings},
  publisher = {IEEE},
  isbn = {978-1-4244-6919-2},
}