Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems

Gerardo M. Mendez, María de los Angeles Hernandez Medina. Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems. In Oscar Castillo, Witold Pedrycz, Janusz Kacprzyk, editors, Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. Volume 257 of Studies in Computational Intelligence, pages 53-61, Springer, 2009. [doi]

@incollection{MendezM09-0,
  title = {Hybrid Interval Type-1 Non-singleton Type-2 Fuzzy Logic Systems Are Type-2 Adaptive Neuro-fuzzy Inference Systems},
  author = {Gerardo M. Mendez and María de los Angeles Hernandez Medina},
  year = {2009},
  doi = {10.1007/978-3-642-04514-1_4},
  url = {http://dx.doi.org/10.1007/978-3-642-04514-1_4},
  tags = {logic},
  researchr = {https://researchr.org/publication/MendezM09-0},
  cites = {0},
  citedby = {0},
  pages = {53-61},
  booktitle = {Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control},
  editor = {Oscar Castillo and Witold Pedrycz and Janusz Kacprzyk},
  volume = {257},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-642-04513-4},
}