Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions Applied to Benchmark Problems

Denisse Hidalgo, Patricia Melin, Oscar Castillo. Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions Applied to Benchmark Problems. In Grigori Sidorov, Arturo Hernández Aguirre, Carlos A. Reyes García, editors, Advances in Soft Computing - 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings, Part II. Volume 6438 of Lecture Notes in Computer Science, pages 454-464, Springer, 2010. [doi]

@inproceedings{HidalgoMC10-0,
  title = {Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions Applied to Benchmark Problems},
  author = {Denisse Hidalgo and Patricia Melin and Oscar Castillo},
  year = {2010},
  doi = {10.1007/978-3-642-16773-7_39},
  url = {http://dx.doi.org/10.1007/978-3-642-16773-7_39},
  tags = {optimization, rule-based},
  researchr = {https://researchr.org/publication/HidalgoMC10-0},
  cites = {0},
  citedby = {0},
  pages = {454-464},
  booktitle = {Advances in Soft Computing - 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings, Part II},
  editor = {Grigori Sidorov and Arturo Hernández Aguirre and Carlos A. Reyes García},
  volume = {6438},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-16772-0},
}