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Rafael Alcalá
Rafael Alcalá
Full Professor of Computer Science and Artificial Intelligence, University of Granada
Verified email at decsai.ugr.es - Homepage
Title
Cited by
Cited by
Year
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
6022011
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
4202011
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
3602013
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
2362007
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
2252009
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
1982009
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
1832010
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
1812011
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
1802003
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
1712005
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
1692009
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
1552007
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
1492007
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
1202011
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
1192006
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
912014
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
862014
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
842012
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
772007
Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation
R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera
Soft Computing 11 (5), 401-419, 2007
752007
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