| Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures MJ Gacto, R Alcalá, F Herrera Information Sciences 181 (20), 4340-4360, 2011 | 614 | 2011 |
| A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning J Alcala-Fdez, R Alcala, F Herrera IEEE Transactions on Fuzzy systems 19 (5), 857-872, 2011 | 431 | 2011 |
| A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions M Fazzolari, R Alcala, Y Nojima, H Ishibuchi, F Herrera IEEE Transactions on Fuzzy systems 21 (1), 45-65, 2013 | 361 | 2013 |
| A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection R Alcalá, J Alcalá-Fdez, F Herrera IEEE Transactions on Fuzzy Systems 15 (4), 616-635, 2007 | 236 | 2007 |
| Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms J Alcalá-Fdez, R Alcalá, MJ Gacto, F Herrera Fuzzy Sets and Systems 160 (7), 905-921, 2009 | 229 | 2009 |
| A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems R Alcalá, P Ducange, F Herrera, B Lazzerini, F Marcelloni IEEE Transactions on fuzzy systems 17 (5), 1106-1122, 2009 | 200 | 2009 |
| Integration of an index to preserve the semantic interpretability in the multiobjective evolutionary rule selection and tuning of linguistic fuzzy systems MJ Gacto, R Alcalá, F Herrera Fuzzy Systems, IEEE Transactions on 18 (3), 515-531, 2010 | 184 | 2010 |
| A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems R Alcalá, MJ Gacto, F Herrera IEEE Transactions on Fuzzy Systems 19 (4), 666-681, 2011 | 181 | 2011 |
| Fuzzy control of HVAC systems optimized by genetic algorithms R Alcalá, JM Benítez, J Casillas, O Cordón, R Pérez Applied Intelligence 18 (2), 155-177, 2003 | 181 | 2003 |
| A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems R Alcalá, J Casillas, O Cordón, A González, F Herrera Engineering Applications of Artificial Intelligence 18 (3), 279-296, 2005 | 173 | 2005 |
| Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems MJ Gacto, R Alcalá, F Herrera Soft Computing 13 (5), 419-436, 2009 | 170 | 2009 |
| A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems R Alcalá, MJ Gacto, F Herrera, J Alcalá-Fdez International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2007 | 158 | 2007 |
| Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation R Alcalá, J Alcalá-Fdez, F Herrera, J Otero International Journal of Approximate Reasoning 44 (1), 45-64, 2007 | 152 | 2007 |
| Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions R Alcalá, Y Nojima, F Herrera, H Ishibuchi Soft Computing 15 (12), 2303-2318, 2011 | 123 | 2011 |
| Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling R Alcalá, J Alcalá-Fdez, J Casillas, O Cordón, F Herrera Soft Computing 10 (9), 717-734, 2006 | 117 | 2006 |
| METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems MJ Gacto, M Galende, R Alcalá, F Herrera Information Sciences 276, 63-79, 2014 | 91 | 2014 |
| A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification … M Fazzolari, R Alcalá, F Herrera Applied Soft Computing 24, 470-481, 2014 | 86 | 2014 |
| A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems MJ Gacto, R Alcalá, F Herrera Applied Intelligence 36 (2), 330-347, 2012 | 83 | 2012 |
| Local identification of prototypes for genetic learning of accurate TSK fuzzy rule‐based systems R Alcalá, J Alcalá‐Fdez, J Casillas, O Cordón, F Herrera International Journal of Intelligent Systems 22 (9), 909-941, 2007 | 79 | 2007 |
| Learning and tuning fuzzy rule-based systems for linguistic modeling and their applications R Alcalá, J Casillas, O Cordón, F Herrera, I Zwir Knowledge Engineering Systems: Techniques and Applications 3, 889-941, 2000 | 79* | 2000 |
Francisco HerreraProfessor Computer Science and AI, DaSCI Research Institute, Granada University, Spain在 decsai.ugr.es 的电子邮件经过验证
