Non-singleton Interval Type-2 Fuzzy Systems as Integration Methods in Modular Neural Networks Used Genetic Algorithms to Design

Denisse Hidalgo, Patricia Melin, Juan R. Castro. Non-singleton Interval Type-2 Fuzzy Systems as Integration Methods in Modular Neural Networks Used Genetic Algorithms to Design. In Patricia Melin, Oscar Castillo, Janusz Kacprzyk, editors, Nature-Inspired Design of Hybrid Intelligent Systems. Volume 667 of Studies in Computational Intelligence, pages 821-838, Springer, 2017. [doi]

@incollection{HidalgoMC17,
  title = {Non-singleton Interval Type-2 Fuzzy Systems as Integration Methods in Modular Neural Networks Used Genetic Algorithms to Design},
  author = {Denisse Hidalgo and Patricia Melin and Juan R. Castro},
  year = {2017},
  doi = {10.1007/978-3-319-47054-2_56},
  url = {http://dx.doi.org/10.1007/978-3-319-47054-2_56},
  researchr = {https://researchr.org/publication/HidalgoMC17},
  cites = {0},
  citedby = {0},
  pages = {821-838},
  booktitle = {Nature-Inspired Design of Hybrid Intelligent Systems},
  editor = {Patricia Melin and Oscar Castillo and Janusz Kacprzyk},
  volume = {667},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-319-47053-5},
}