Jesus Alcala-Fdez
Jesus Alcala-Fdez
Full Professor of Computer Science and Artificial Intelligence, University of Granada
Verified email at - Homepage
Cited by
Cited by
KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework
J Alcala-Fdez, A Fernández, J Luengo, J Derrac, S García, L Sánchez, ...
Journal of Multiple-Valued Logic and Soft Computing 17, 255-287, 2011
KEEL: a software tool to assess evolutionary algorithms for data mining problems
J Alcalá-Fdez, L Sanchez, S Garcia, MJ del Jesus, S Ventura, JM Garrell, ...
Soft Computing 13, 307-318, 2009
A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning
J Alcalá-Fdez, R Alcala, F Herrera
IEEE Transactions on Fuzzy systems 19 (5), 857-872, 2011
A consistency‐based procedure to estimate missing pairwise preference values
S Alonso, F Chiclana, F Herrera, E Herrera‐Viedma, J Alcalá‐Fdez, ...
International journal of intelligent systems 23 (2), 155-175, 2008
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining
I Triguero, S González, JM Moyano, S García, J Alcala-Fdez, J Luengo, ...
International Journal of Computational Intelligence Systems 10, 1238-1249, 2017
jFuzzyLogic: a java library to design fuzzy logic controllers according to the standard for fuzzy control programming
P Cingolani, J Alcalá-Fdez
International Journal of Computational Intelligence Systems 6 (sup1), 61-75, 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
Fuzzy Systems, IEEE Transactions on 15 (4), 616-635, 2007
jFuzzyLogic: a robust and flexible Fuzzy-Logic inference system language implementation
P Cingolani, J Alcala-Fdez
2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012
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
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
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
A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends and Prospects
J Alcalá-Fdez, JM Alonso
IEEE Transactions on Fuzzy Systems. DOI: 10.1109/TFUZZ.2015.2426212, 24 (1 …, 2016
A new multiobjective evolutionary algorithm for mining a reduced set of interesting positive and negative quantitative association rules
D Martin, A Rosete, J Alcalá-Fdez, F Herrera
IEEE transactions on evolutionary computation 18 (1), 54-69, 2013
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, 717-734, 2006
NICGAR: a Niching Genetic Algorithm to Mine a Diverse Set of Interesting Quantitative Association Rules
D Martín, J Alcalá-Fdez, A Rosete, F Herrera
Information Sciences, DOI: 10.1016/j.ins.2016.03.039 355356, 208-228, 2016
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules
D Martín, A Rosete, J Alcalá-Fdez, F Herrera
Information Sciences 258, 1-28, 2014
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
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
Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems
J Alcalá‐Fdez, F Herrera, F Márquez, A Peregrín
International Journal of Intelligent Systems 22 (9), 1035-1064, 2007
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems
R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera
Applied Intelligence 31, 15-30, 2009
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