Implementing Adaptive Vectorial Centroid in Bayesian Logistic Regression for Interval Type-2 Fuzzy Sets

Ku Muhammad Naim Ku Khalif, Alexander E. Gegov. Implementing Adaptive Vectorial Centroid in Bayesian Logistic Regression for Interval Type-2 Fuzzy Sets. In Juan Julián Merelo Guervós, Agostinho C. Rosa, José Manuel Cadenas, António Dourado Correia, Kurosh Madani, António E. Ruano, Joaquim Filipe, editors, Computational Intelligence - International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers. Volume 669 of Studies in Computational Intelligence, pages 315-333, Springer, 2015. [doi]

@inproceedings{KhalifG15a,
  title = {Implementing Adaptive Vectorial Centroid in Bayesian Logistic Regression for Interval Type-2 Fuzzy Sets},
  author = {Ku Muhammad Naim Ku Khalif and Alexander E. Gegov},
  year = {2015},
  doi = {10.1007/978-3-319-48506-5_16},
  url = {http://dx.doi.org/10.1007/978-3-319-48506-5_16},
  researchr = {https://researchr.org/publication/KhalifG15a},
  cites = {0},
  citedby = {0},
  pages = {315-333},
  booktitle = {Computational Intelligence - International Joint Conference, IJCCI 2015 Lisbon, Portugal, November 12-14, 2015, Revised Selected Papers},
  editor = {Juan Julián Merelo Guervós and Agostinho C. Rosa and José Manuel Cadenas and António Dourado Correia and Kurosh Madani and António E. Ruano and Joaquim Filipe},
  volume = {669},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-319-48504-1},
}