Journal articles
- J. Alcalá-Fdez , R. Alcalá and F. Herrera . A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning. IEEE Transactions on Fuzzy Systems, Volume 19, Issue 5 (2011), Page 857-872.
- J. Alcalá-Fdez , R. Alcalá, M.J. Gacto and F. Herrera . Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets and Systems, Volume 160, Issue 7 (2009), Page 905-921.
Conference contributions
- M. Fazzorali , R. Alcalá, Y. Nojima , H. Ishibuchi and F. Herrera. Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities, Proceedings of the 2013 International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2013, pag: 44-51, ISBN: 978-146735899-6.
- J. Alcalá-Fdez , R. Alcalá and F. Herrera. A fuzzy associative classification system with genetic rule selection for high-dimensional problems, Proceedings of the 4th International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2010, pag: 33-38, ISBN: 978-1-4244-4621-6.
- R. Alcalá, J. Alcalá-Fdez , M.J. Gacto and F. Herrera . Genetic learning of membership functions for mining fuzzy association rules, Proceedings of the IEEE International Fuzzy Systems Conference, FUZZ-IEEE 2007, pag: 1-6, ISBN: 1-4244-1209-9.