Optimal Design of a Fuzzy System with a Real-Coded Genetic Algorithm for Diabetes Classification

Julio C. Mónica, Patricia Melin, Daniela Sánchez. Optimal Design of a Fuzzy System with a Real-Coded Genetic Algorithm for Diabetes Classification. In Ajith Abraham, Thomas Hanne, Oscar Castillo 0001, Niketa Gandhi, Tatiane Nogueira Rios, Tzung-Pei Hong, editors, Hybrid Intelligent Systems - 20th International Conference on Hybrid Intelligent Systems (HIS 2020), Virtual Event, India, December 14-16, 2020. Volume 1375 of Advances in Intelligent Systems and Computing, pages 320-329, Springer, 2020. [doi]

@inproceedings{MonicaMS20-0,
  title = {Optimal Design of a Fuzzy System with a Real-Coded Genetic Algorithm for Diabetes Classification},
  author = {Julio C. Mónica and Patricia Melin and Daniela Sánchez},
  year = {2020},
  doi = {10.1007/978-3-030-73050-5_32},
  url = {https://doi.org/10.1007/978-3-030-73050-5_32},
  researchr = {https://researchr.org/publication/MonicaMS20-0},
  cites = {0},
  citedby = {0},
  pages = {320-329},
  booktitle = {Hybrid Intelligent Systems - 20th International Conference on Hybrid Intelligent Systems (HIS 2020), Virtual Event, India, December 14-16, 2020},
  editor = {Ajith Abraham and Thomas Hanne and Oscar Castillo 0001 and Niketa Gandhi and Tatiane Nogueira Rios and Tzung-Pei Hong},
  volume = {1375},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-030-73050-5},
}