Alisson Porto, Fernando Gomide. Evolving Granular Fuzzy Min-Max Regression. In Patricia Melin, Oscar Castillo, Janusz Kacprzyk, Marek Reformat, William Melek, editors, Fuzzy Logic in Intelligent System Design - Theory and Applications [North American Fuzzy Information Processing Society Annual Conference, NAFIPS 2017, 16-18 October, 2017, Cancun, Mexico]. Volume 648 of Advances in Intelligent Systems and Computing, pages 162-171, Springer, 2017. [doi]
@inproceedings{PortoG17,
title = {Evolving Granular Fuzzy Min-Max Regression},
author = {Alisson Porto and Fernando Gomide},
year = {2017},
doi = {10.1007/978-3-319-67137-6_18},
url = {https://doi.org/10.1007/978-3-319-67137-6_18},
researchr = {https://researchr.org/publication/PortoG17},
cites = {0},
citedby = {0},
pages = {162-171},
booktitle = {Fuzzy Logic in Intelligent System Design - Theory and Applications [North American Fuzzy Information Processing Society Annual Conference, NAFIPS 2017, 16-18 October, 2017, Cancun, Mexico]},
editor = {Patricia Melin and Oscar Castillo and Janusz Kacprzyk and Marek Reformat and William Melek},
volume = {648},
series = {Advances in Intelligent Systems and Computing},
publisher = {Springer},
isbn = {978-3-319-67137-6},
}