A New Approach for Using the Fuzzy Decision Trees for the Detection of the Significant Operating Points in the Nonlinear Modeling

Piotr DziwiƱski, Eduard D. Avedyan. A New Approach for Using the Fuzzy Decision Trees for the Detection of the Significant Operating Points in the Nonlinear Modeling. In Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada, editors, Artificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II. Volume 9693 of Lecture Notes in Computer Science, pages 279-292, Springer, 2016. [doi]

@inproceedings{DziwinskiA16,
  title = {A New Approach for Using the Fuzzy Decision Trees for the Detection of the Significant Operating Points in the Nonlinear Modeling},
  author = {Piotr DziwiƱski and Eduard D. Avedyan},
  year = {2016},
  doi = {10.1007/978-3-319-39384-1_24},
  url = {http://dx.doi.org/10.1007/978-3-319-39384-1_24},
  researchr = {https://researchr.org/publication/DziwinskiA16},
  cites = {0},
  citedby = {0},
  pages = {279-292},
  booktitle = {Artificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Zakopane, Poland, June 12-16, 2016, Proceedings, Part II},
  editor = {Leszek Rutkowski and Marcin Korytkowski and Rafal Scherer and Ryszard Tadeusiewicz and Lotfi A. Zadeh and Jacek M. Zurada},
  volume = {9693},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-39383-4},
}