Improving Supervised Classification Algorithms by a Bipolar Knowledge Representation

Guillermo Villarino, Daniel Gómez, J. Tinguaro Rodríguez. Improving Supervised Classification Algorithms by a Bipolar Knowledge Representation. In Janusz Kacprzyk, Eulalia Szmidt, Slawomir Zadrozny, Krassimir T. Atanassov, Maciej Krawczak, editors, Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017 - The Sixteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets, September 13-15, 2017, Warsaw, Poland, Volume 3. Volume 643 of Advances in Intelligent Systems and Computing, pages 518-529, Springer, 2017. [doi]

Authors

Guillermo Villarino

This author has not been identified. Look up 'Guillermo Villarino' in Google

Daniel Gómez

This author has not been identified. Look up 'Daniel Gómez' in Google

J. Tinguaro Rodríguez

This author has not been identified. Look up 'J. Tinguaro Rodríguez' in Google