Interpretability issues in fuzzy modeling J Casillas, Ó Cordón, F Herrera, L Magdalena Springer, 2003 | 598* | 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 | 314 | 2005 |
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 | 252 | 2013 |
Accuracy improvements in linguistic fuzzy modeling J Casillas, Ó Cordón, F Herrera, L Magdalena Springer, 2003 | 252 | 2003 |
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 | 191 | 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 | 188 | 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 | 180 | 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 | 173 | 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 | 144 | 2002 |
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 | 127 | 2009 |
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 | 127 | 2006 |
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 | 114 | 2018 |
Fuzzy-XCS: A Michigan genetic fuzzy system J Casillas, B Carse, L Bull IEEE Transactions on Fuzzy Systems 15 (4), 536-550, 2007 | 102 | 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 | 98 | 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 | 96 | 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 | 93 | 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 | 84 | 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 | 77 | 2007 |
Marketing Intelligent Systems for consumer behaviour modelling by a descriptive induction approach based on Genetic Fuzzy Systems FJ Martínez-López, J Casillas Industrial Marketing Management 38 (7), 714-731, 2009 | 73 | 2009 |
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 | 73 | 2005 |