@inbook{41,
  author = {Óscar Cordón García and Maria José del Jesus Díaz and Francisco Herrera Triguero and Luis Magdalena and Pedro Villar},
  editor = {Jorge Casillas and Óscar Cordón García and Francisco Herrera Triguero and Luis Magdalena},
  title = {A Multiobjective Genetic Learning Process for joint Feature Selection and Granularity and Contexts Learning in Fuzzy Rule-Based Classification Systems},
  abstract = {In this contribution, we propose a genetic process to select an appropiate set of features in a Fuzzy Rule-Based Classification System (FRBCS) and to automatically learn the whole Data Base definition using a non linear scaling function to adapt the fuzzy partition contexts and determining an appropiate granularity for each of them. An ad-hoc data covering learning method is considered to obtain the Rule Base. The method uses a multiobjective genetic algorithm in order to obtain a good trade-off between accuracy and interpretability.},
  year = {2003},
  pages = {79-99},
  publisher = {Springer Berlin Heidelberg},
  address = {Berlin, Heidelberg},
  isbn = {978-3-540-37057-4},
  url = {https://doi.org/10.1007/978-3-540-37057-4_4},
  doi = {10.1007/978-3-540-37057-4_4},
}