Jorge Casillas
Jorge Casillas
Full Professor of Computer Science and Artificial Intelligence, University of Granada
Verified email at - Homepage
Cited by
Cited by
Interpretability issues in fuzzy modeling
J Casillas, Ó Cordón, F Herrera, L Magdalena
Springer, 2003
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction
J Casillas, O Cordón, MJ Del Jesus, F Herrera
IEEE Transactions on Fuzzy Systems 13 (1), 13-29, 2005
Accuracy improvements in linguistic fuzzy modeling
J Casillas, Ó Cordón, F Herrera, L Magdalena
Springer, 2003
Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights
FJ Martínez-López, J Casillas
Industrial Marketing Management 42 (4), 489-495, 2013
Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview
J Casillas, O Cordon, F Herrera, L Magdalena
Interpretability issues in fuzzy modeling, 3-22, 2003
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems
J Casillas, O Cordón, MJ Del Jesus, F Herrera
Information Sciences 136 (1-4), 135-157, 2001
Fuzzy control of HVAC systems optimized by genetic algorithms
R Alcalá, JM Benítez, J Casillas, O Cordón, R Pérez
Applied Intelligence 18, 155-177, 2003
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems
R Alcala, J Casillas, O Cordon, A Gonzalez, F Herrera
Engineering Applications of Artificial Intelligence 18 (3), 279-296, 2005
COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules
J Casillas, O Cordón, F Herrera
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 32 …, 2002
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
Genetic learning of fuzzy rules based on low quality data
L Sánchez, I Couso, J Casillas
Fuzzy Sets and Systems 160 (17), 2524-2552, 2009
Assessing web sites quality: A systematic literature review by text and association rules mining
R Rekik, I Kallel, J Casillas, AM Alimi
International journal of information management 38 (1), 201-216, 2018
Fuzzy-XCS: A Michigan genetic fuzzy system
J Casillas, B Carse, L Bull
IEEE Transactions on Fuzzy Systems 15 (4), 536-550, 2007
Learning fuzzy rules using ant colony optimization algorithms
J Casillas, O Cordón, F Herrera
Proc. 2nd International Workshop on Ant Algorithms, 13-21, 2000
Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model
HM Kammoun, I Kallel, J Casillas, A Abraham, AM Alimi
Transportation Research Part C: Emerging Technologies 42, 147-167, 2014
Quick design of fuzzy controllers with good interpretability in mobile robotics
M Mucientes, J Casillas
IEEE Transactions on Fuzzy Systems 15 (4), 636-651, 2007
Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling
J Casillas, FJ Martínez-López
Expert Systems with Applications 36 (2), 1645-1659, 2009
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
Learning cooperative linguistic fuzzy rules using the best–worst ant system algorithm
J Casillas, O Cordón, I Fernández de Viana, F Herrera
International Journal of Intelligent Systems 20 (4), 433-452, 2005
Learning and tuning fuzzy rule-based systems for linguistic modeling
R Alcalá, O Cordón, J Casillas, F Herrera, SJI Zwir
Knowledge-based systems, 889-941, 2000
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