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SCI2S Publications (J. Casillas)

Number of Results: 109

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2018 (3)

  • [2339] R. Rekik, I. Kallel, J. Casillas, A.M. Alimi. Assessing web sites quality: a systematic literature review by text and association rules mining. International Journal of Information Management 38:1 (2018) 201-216. doi: 10.1016/j.ijinfomgt.2017.06.007
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  • [2409] C. Koulamas, A.P. Kalogeras, R. Pacheco-Torres, J. Casillas, L. Ferrarini. Suitability analysis of modeling and assessment approaches in energy efficiency in buildings. Energy and Buildings 158 (2018) 1662-1682. doi: 10.1016/j.enbuild.2017.12.002 PDF Icon
  • [2410] E. Ruiz, J. Casillas. Adaptive fuzzy partitions for evolving association rules in big data stream. International Journal of Approximate Reasoning 93 (2018) 463-486. doi: 10.1016/j.ijar.2017.11.014


2016 (4)

  • [2005] A. Sancho-Asensio, A. Orriols-Puig, J. Casillas. Evolving association streams. Information Sciences 334-335 (2016) 250-272. doi: 10.1016/j.ins.2015.11.043 PDF Icon
  • [2340] H. Velarde, C. Santiesteban, A. Garcia, J. Casillas. Analyzing the effect of variables in the software development effort estimation. IEEE Latin America Transactions 14:8 (2016) 3797-3803. doi: 10.1109/TLA.2016.7786366 PDF Icon
  • [2341] H. Velarde, C. Santiesteban, A. Garcia, J. Casillas. Software development effort estimation based-on multiple classifier system and lines of code. IEEE Latin America Transactions 14:8 (2016) 3907-3913. doi: 10.1109/TLA.2016.7786379 PDF Icon
  • [2342] R. Rekik, I. Kallel, J. Casillas, A.M. Alimi. Using multiple criteria decision making approaches to assess the quality of web sites. International Journal of Computer Science and Information Security 14:7 (2016) 747-761. PDF Icon
    paper link


2014 (1)

  • [1838] H.M. Kammoun, I. Kallel, J. Casillas, A. Abraham, A.M. Alimi. Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model. Transportation Research Part C: Emerging Technologies 42 (2014) 147–167. doi: 10.1016/j.trc.2014.03.003 PDF Icon


2013 (5)

  • [1563] A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee. A soft-computing-based method for the automatic discovery of fuzzy rules in databases: Uses for academic research and management support in marketing. Journal of Business Research 66:9 (2013) 1332-1337. doi: 10.1016/j.jbusres.2012.02.033 PDF Icon
  • [1564] A.D. Benítez, J. Casillas. Multi-Objective Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems. Soft Computing 17:1 (2012) 165-194. doi: 10.1007/s00500-012-0909-2 PDF Icon
  • [1601] F.J. Marín, J. Casillas, F.J. Martínez-López. MarkiS: a marketing intelligent system software application for causal modeling. 1st Int. Symp. Management Intelligent Systems, Salamanca, Spain (2012). J. Casillas, F.J. Martínez-López, J.M. Corchado (Eds.), Management Intelligent Systems - First Int. Symposium, Advances in Intelligent Systems and Computing 171 (2012) 165-174.
  • [1839] F.J. Martínez-López, J. Casillas. , Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Industrial Marketing Management 42:4 (2013) 489-495. doi: 10.1016/j.indmarman.2013.03.001 PDF Icon
  • [1840] A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee. Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application. Industrial Marketing Management 42:4 (2013) 532-543. doi: 10.1016/j.indmarman.2013.03.005 PDF Icon


2012 (2)

  • [1600] K. Kiliç, J. Casillas. Hybrid genetic-fuzzy system modeling application in innovation management. 1st Int. Symp. Management Intelligent Systems, Salamanca, Spain (2012). J. Casillas, F.J. Martínez-López, J.M. Corchado (Eds.), Management Intelligent Systems - First International Symposium, Advances in Intelligent Systems and Computing 171 (2012) 25-34.
  • [1841] F.J. Marín, J. Casillas, F.J. Martínez-López. MarkiS: a marketing intelligent system software application for causal modeling. [MIEMBRO 0007 J. Casillas], F.J. Martínez-López, J.M. Corchado (Eds.), Management Intelligent Systems - First International Symposium, Advances in Intelligent Systems and Computing 171 (2012) 165-174.


2011 (5)

  • [1358] A. Orriols-Puig, J. Casillas. Fuzzy knowledge representation study for incremental learning in data streams and classification problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications 15:12 (2011) 2389-2414. doi: 10.1007/s00500-010-0668-x PDF Icon
  • [1597] H. M. Kammoun, I. Kallel, J. Casillas, A. M. Alimi. Improvement of the road traffic management by an ant-hierarchical fuzzy system. IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, Paris, France (2011).
  • [1598] M. González, J. Casillas, C. Morell. Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems. IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, Paris, France (2011).
  • [1599] F.J. Marín, J. Casillas, M. Mucientes, A.A. Transeth, S.A. Fjerdingen, I. Schjølberg. Learning intelligent controllers for path-following skills on snake-like robots. 4th Int. Conf. on Intelligent Robotics and Applications, Aachen, Germany (2011). S. Jeschke. H. Liu, D. Schilbert (Eds.), Proceedings of the 4th International Conference on Intelligent Robotics and Applications - Part II, LNAI 7102 (2011) 525-535.
  • [1602] F.J. Marín, J. Casillas, M. Mucientes, A.A. Transeth, S.A. Fjerdingen, I. Schjølberg. Aprendizaje de controladores difusos para seguimiento de trayectorias en robots multiarticulados. Proceedings of ROBOT 2011, Sevilla, Spain (2011) 397-403.


2010 (4)

  • [1071] M. Mucientes, J. Alcalá-Fdez, R. Alcalá, J. Casillas. A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. Expert Systems With Applications 37:2 (2010) 1471–1493. doi: 10.1016/j.eswa.2009.06.095
  • [1361] M. González, J. Casillas, C. Morell. SIFT-SS: an advanced steady-state multi-objective genetic fuzzy system. 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010), LNAI 6077, pp. 1-8, 2010. PDF Icon
  • [1595] A. Orriols-Puig, F.J. Martínez-López, J. Casillas, N. Lee. A Soft-Computing-based method for automatic discovering of fuzzy rules in databases: uses for academic research and management support in marketing. Global Marketing Conference, Tokyo, Japan.
  • [1596] H. M. Kammoun, I. Kallel, A. M. Alimi, J. Casillas. An adaptive vehicle guidance system instigated from ant colony behavior. 2010 IEEE International Conference on Systems, Man and Cybernetics (SMC 2010), Istanbul, Turkey (2010).


2009 (12)

  • [0771] J. Casillas, F.J. Martínez-López. Mining Uncertain Data with Multiobjective Genetic Fuzzy Systems to Be Applied in Consumer Behaviour Modelling. Expert Systems with Applications 36:2 (2009) 1645-1659. doi: 10.1016/j.eswa.2007.11.035 PDF Icon
  • [0650] M. Mucientes, R. Alcalá, J. Alcalá-Fdez, J. Casillas. Learning Weighted Linguistic Rules to Control an Autonomous Robot. International Journal of Intelligent Systems 24:3 (2009) 226–251. doi: 10.1002/int.20334
  • [0840] J. Casillas, P. Martínez, A.D. Benítez. Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems. Soft Computing 13:5 (2009) 451-465. doi: 10.1007/s00500-008-0361-5 PDF Icon
  • [0839] A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. Fuzzy-UCS: a Michigan-style learning fuzzy-classifier system for supervised learning. IEEE Transactions on Evolutionary Computation 13:2 (2009) 260-283. doi: 10.1109/TEVC.2008.925144 PDF Icon
  • [0829] J. Casillas, F.J. Martínez-López. A knowledge discovery method based on genetic fuzzy systems for obtaining consumer behaviour patterns. An empirical application to a web-based trust model. International Journal of Management and Decision Making 10:5-6 (2009) 402-428. doi: 10.1504/IJMDM.2009.026685 PDF Icon
  • [0828] F.J. Martínez-López, J. Casillas. Marketing intelligent systems for consumer behaviour modelling by a descriptive induction approach based on genetic fuzzy systems. Industrial Marketing Management 38:7 (2009) 714-731. doi: 10.1016/j.indmarman.2008.02.003 PDF Icon
  • [1024] A.D. Benítez, J. Casillas. Aprendizaje Evolutivo de Sistemas Difusos Jerárquicos en Serie. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), Málaga (Spain), 255-262, 11-13 February 2009.
  • [1052] A. Orriols-Puig, J. Casillas, F.J. Martínez-López. Unsupervised learning of fuzzy association rules for consumer behavior modeling. Mathware & Soft Computing 16:1 (2009) 29-43. PDF Icon
  • [1088] L. Sánchez, I. Couso, J. Casillas. Genetic learning of fuzzy rules based on low quality data. Fuzzy Sets and Systems 160:17 (2009) 2524-2552. doi: 10.1016/j.fss.2009.03.004 PDF Icon
  • [1196] A.D. Benítez, J. Casillas. Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), Lisbon (Portugal), 1751-1756, 20-24 July 2009.
  • [1359] J. Casillas. Efficient multi-objective genetic tuning of fuzzy models for large-scale regression problems. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), pp. 1712-1717.
  • [1360] J. Casillas. Embedded genetic learning of highly interpretable fuzzy partitions. Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference (IFSA-EUSFLAT 2009), pp. 1631-1636.


2008 (7)

  • [0741] A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. A comparative study of several genetic-based supervised learning systems. In L. Bull, E. Bernadó-Mansilla, J. Holmes (Eds.), Learning Classifier Systems in Data Mining, (Springer, Heidelberg, Germany, 2008), pp. 205-230. ISBN 978-3-540-78978-9. doi: 10.1007/978-3-540-78979-6_10
  • [0742] J. Casillas, F.J. Martínez-López. KDD in Marketing with genetic fuzzy systems. O. Maimon, L. Rokach (Eds.), Soft computing for knowledge discovery and data mining, (Springer, Heidelberg, Germany), pp. 225-239. PDF Icon
  • [0832] J. Casillas, A.Orriols-Puig and E. Bernadó-Mansilla. Toward Evolving Consistent, Complete, and Compact Fuzzy Rule Sets for Classification Problems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2008) pp. 89-94 Witten-Bommerholz (Germany), March 2008.
  • [0878] A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. Genetic-based machine learning systems are competitive for pattern recognition. Evolutionary Intelligence 1:3 (2008) 209-232. doi: 10.1007/s12065-008-0013-9 PDF Icon
  • [0969] A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. Approximate versus linguistic representation in Fuzzy-UCS. 3rd International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2008), Burgos, Spain (2008). E. Corchado, A. Abraham, W. Pedrycz (Eds.), Hybrid Artificial Intelligence Systems, Lecture Notes on Computer Science, LNCS 5271 (2008), pp.722-729.
  • [0970] A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. First approach toward on-line evolution of association rules with learning classifier systems. 11th International Workshop on Learning Classifier Systems (IWLCS 2008) within the Genetic and Evolutionary Computation Conference (GECCO 2008), Atlanta, Georgia, USA (2008), pp. 2031-2038.
  • [0972] A. Orriols-Puig, J. Casillas, F.J. Martínez-López. Modelado causal en Marketing mediante aprendizaje no supervisado de reglas de asociación difusas. Proceedings of the XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'08), Mieres-Langreo, Spain, pp. 529-536, 2008.


2007 (11)

  • [0344] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Local Identification of Prototypes for Genetic Learning of Accurate TSK Fuzzy Rule-Based Systems. International Journal of Intelligent Systems 22:9 (2007) 909-941. doi: 10.1002/int.20232
  • [0564] M. Mucientes, J. Casillas. Quick design of fuzzy controllers with good interpretability in mobile robotics. IEEE Transactions on Fuzzy Systems 15:4 (2007) 636-651. doi: 10.1109/TFUZZ.2006.889889 PDF Icon
  • [0606] A.D. Benítez, J. Casillas. Optimización continua mediante la evolución de funciones de densidad de probabilidad con un modelo de dos islas. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 795-802, 14-16 February 2007. PDF Icon
  • [0616] L. Sánchez, I. Couso, J. Casillas. Modeling vague data with genetic fuzzy systems under a combination of crisp and imprecise criteria. First IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM 2007), Honolulu (USA), 30-37, 1-5 April 2007.
  • [0663] J. Casillas, B. Carse, L. Bull. Fuzzy-XCS: a Michigan genetic fuzzy system. IEEE Transactions on Fuzzy Systems 15:4 (2007) 536-550. doi: 10.1109/TFUZZ.2007.900904 PDF Icon
  • [0728] A. Orriols, J. Casillas, E. Bernadó. Aprendizaje Supervisado de Reglas Difusas mediante un Sistema Clasificador Evolutivo Estilo Michigan. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 171-178, 11-14 September 2007. PDF Icon
  • [0735] O. Delgado, J. Casillas. Extracción de Conocimiento Mediante un Algoritmo Genético Multiobjetivo Estilo Pittsburg y Reglas Lingüísticas Tipo DNF. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 509-516, 14-16 February 2007. PDF Icon
  • [0738] J. Casillas, P. Martínez. Consistent, complete and compact generation of DNF-type fuzzy rules by a Pittsburgh-style genetic algorithm. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1745-1750, 23-26 July 2007. PDF Icon
  • [0739] A. Orriols-Puig, J. Casillas, E. Bernadó-Mansilla. Fuzzy-UCS: preliminary results. 10th International Workshop on Learning Classifier Systems (IWLCS 2007), 2871-2874. PDF Icon
  • [0740] F.J. Martínez-López, J. Casillas. Consumer modeling by multiobjective genetic fuzzy systems: a descriptive rule induction approach. 36th European Marketing Academy Conference (EMAC 2007), Reykjavik, (Iceland), , 22-25 May 2007.
  • [0825] J. Casillas, F.J. Martínez-López. Knowledge Discovery by Genetic Fuzzy Systems Applied to Consumer Behavior Modelling. Romanian Marketing Review 3 (2007) 111-142. PDF Icon


2006 (4)

  • [0343] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Hybrid learning models to get the interpretability-accuracy trade-off in Fuzzy Modelling. Soft Computing 10:9 (2006) 717-734. doi: 10.1007/s00500-005-0002-1
  • [0605] A.D. Benítez, J. Casillas. Continuous optimization by evolving probability density functions with a two-island model. 2nd International Conference on Natural Computation (ICNC 2006), Xi'an, China. L. Jiao, L. Wang, X. Gao, J. Liu, F. Wu (Eds.), Advances in Natural Computation. Part I, Lecture Notes on Computer Science, LNCS 4221, 796-805, September 2006. PDF Icon
  • [0617] L. Sánchez, I. Couso, J. Casillas. A multiobjective genetic fuzzysystem with imprecise probability fitness for vague data. Proceedings of the 2nd International Symposium on Evolving Fuzzy Systems (EFS 2006), Lake District (UK), 131-136, September 2006. PDF Icon
  • [0619] L. Sánchez, J. Casillas. Knowledge extraction from fuzzy data forestimating consumer behavior models. In Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE'06), Vancouver (Canada), 572-578, 16-21 July 2006. PDF Icon


2005 (10)

  • [0339] J. Casillas, O. Cordón, M.J. del Jesús, F. Herrera. Genetic Tuning of Fuzzy Rule Deep Structures Preserving Interpretability and Its Interaction With Fuzzy Rule Set Reduction. IEEE Trans. on Fuzzy Systems 13:1 (2005) 13-29. doi: 10.1109/TFUZZ.2004.839670 PDF Icon
  • [0340] R. Alcalá, J. Casillas, O. Cordón, A. González, F. Herrera. A Genetic Rule Weighting and Selection Process for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Engineering Applications of Artificial Intelligence 18:3 (2005) 279-296. doi: 10.1016/j.engappai.2004.09.007
  • [0347] J. Casillas, O. Cordón, I. Fernández de Viana, F. Herrera. Learning Cooperative Linguistic Fuzzy Rules Using the Best-Worst Ant Systems Algorithm. International Journal of Intelligent Systems 20 (2005) 433-452. doi: 10.1002/int.20074 PDF Icon
  • [0553] M. Mucientes, R. Alcalá, J. Alcalá-Fdez, J. Casillas. Learning WeightedLinguistic Rules for Mobile Robotics. XI World Congress of International Fuzzy Systems Association (IFSA05), Vol. 3, Beijing (China), 1279-1285, July 28-31, 2005.
  • [0565] J. Casillas, B. Carse, L. Bull. Reinforcement learning by an accuracy-based fuzzy classifier system with real-valued output. Proceedings of the First International Workshop on Genetic Fuzzy Systems (GFS 2005), Granada (Spain), 44-50, 2005.
  • [0566] J. Casillas, F.J. Martínez-López. A fuzzy rule-based knowledge discovery method for estimating consumer behaviour. Poster Session, 34th European Marketing Academy Conference Proceedings (EMAC 2005), Milan (Italy), 262, 2005.
  • [0567] J. Casillas, O. Delgado, F.J. Martínez-López. Predictive knowledge discovery by multiobjective genetic fuzzy systems for estimating consumer behavior models. Proceedings of the 4th International Conference in Fuzzy Logic and Technology (EUSFLAT 2005), Barcelona, (Spain), 272-278, 2005.
  • [0568] M. Mucientes, J. Casillas. Learning fuzzy robot controllers to follow a mobile object. Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI 2005), Tozeur (Tunisa), 566-573, 2005.
  • [0569] J. Casillas, A.D. Benítez. Optimización continua multimodal mediante evolución de funciones de densidad de probabilidad. Proceedings of the II Congreso Mexicano de Computación Evolutiva (COMCEV'05), Aguascalientes (Mexico), 139-144, 2005.
  • [0570] J. Casillas, O. Delgado, F.J. Martínez-López. Una metodología de KDD basada en sistemas difusos genéticos multiobjetivo para modelado causal en marketing. Proceedings of the IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2005), Granada (Spain), 681-688, 2005.


2004 (8)

  • [0388] J. Casillas, F. Herrera. Experiencias Docentes sobre la Enseñanza de Metaheurísticas en Ingeniería Informática en la Unioversidad de Granada. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 329-335, 2004.
  • [0385] M. Mucientes, J. Casillas. Generación eficiente de un controlador difuso con alta interpretabilidad para navegación de robots móviles. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 401-406, 2004. PDF Icon
  • [0384] J. Casillas, B. Carse, L. Bull. Fuzzy-XCS: an Accuracy-Based Fuzzy Classiffier System. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 369-376, 2004.
  • [0383] J. Casillas, O. Cordón, F. Herrera, P. Villar. Aprendizaje híbrido de la base de conocimiento de un sistema basado en reglas difusas mediante algoritmos genéticos y colonias de hormigas. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 357-362, 2004. PDF Icon
  • [0382] J. Casillas, A. Rodríguez. Evolución de funciones de densidad de probabilidad para optimización continua. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 438-447, 2004.
  • [0381] M. Mucientes, J. Casillas. Obtaining a fuzzy controller with high interpretability in mobile robots navigation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Budapest (Hungary), 1637-1642, 2004. PDF Icon
  • [0380] J. Casillas, O. Cordón, F. Herrera, P. Villar. A hybrid learning process for the knowledge base of a fuzzy rule-based system. 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia (Italy), 2189-2196, 2004.
  • [0454] J. Casillas, F.J. Martínez-López, F.J. Martínez. Fuzzy association rules for estimating consumer behaviour models and their application to explaining trust in Internet shopping. Fuzzy Economic Review IX:2 (2004) 3-26.


2003 (9)

  • [0001] R. Alcalá, J.M. Benítez, J. Casillas, O. Cordón, R. Pérez. Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. Applied Intelligence 18:2 (2003) 155-177. doi: 10.1023/A:1021986309149 PDF Icon
  • [0013] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Linguistic Modeling with Weighted Double-Consequent Fuzzy Rules Based on Cooperative Coevolutionary Learning. Integrated Computer Aided Engineering 10 (4) (2003) 343-355. PDF Icon
  • [0126] J. Casillas, O. Cordón, F. Herrera, L. Magdalena. Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview. In [MIEMBRO 0007 J. Casillas], [MIEMBRO 0009 O. Cordón], [MIEMBRO 0001 F. Herrera], L. Magdalena (Eds.). Interpretability issues in fuzzy modeling, Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003, 3-22. ISBN 3-540-02932-X.
  • [0127] R. Alcalá, J.M. Benítez, J. Casillas, J.L. Castro, O. Cordón, A. González, F. Herrera, R. Pérez. Multicriteria genetic tuning for the optimization and control of HVAC systems. In X. Yu, J. Kacprzyk (Eds.): Applied decision support with soft computing, Studies in Fuzziness and Soft Computing Vol. 124, Springer, Heidelberg, Germany, 2003, 308-345. ISBN 978-3-540-02491-0.
  • [0128] J. Casillas, O. Cordón, F. Herrera, L. Magdalena. Accuracy improvements to find the balance interpretability-accuracy in linguistic fuzzy modeling: an overview. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.). Accuracy Improvements in Linguistic Fuzzy Modeling, Studies in Fuzziness and Soft Computing, Springer-Verlag, Heidelberg, Germany, 2003, 3-24. ISBN 3-540-02933-8.
  • [0129] J. Casillas, O. Cordón, F. Herrera. COR methodology: a simple way to obtain linguistic fuzzy models with good interpretability and accuracy. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.). Accuracy improvements in linguistic fuzzy modeling, Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003, 27-45. ISBN 3-540-02933-8.
  • [0130] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Applying Rule Weight Derivation to Obtain Cooperative Rules. In J.M. Benítez, O. Cordón, F. Hoffmann, R. Roy (Eds.). Advances in soft computing. Engineering, design and manufacturing, Springer, Heidelberg, Germany, 2003, 139-148. ISBN 1-85233-755-9.
  • [0307] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera. Genetic Learning of Accurate TS Models Based on Local Fuzzy Prototyping. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2003), Zittau (Germany), 105-108, September 10-12, 2003.
  • [0302] J. Casillas, F.J. Martínez, F.J. Martínez-López. A Proposal for Estimating Consumer Behaviour Models Based on Fuzzy Association Rules. Proceedings SIGEF 2003, 279-298, 2003.


2002 (10)

  • [0022] L. Sánchez, J. Casillas, O. Cordón, M.J. Del Jesus. Some Relationships Between Fuzzy and Random Set-Based Classifiers and models. International Journal of Approximate Reasoning 29:2 (2002) 175-213. doi: 10.1016/S0888-613X(01)00063-9 PDF Icon
  • [0023] J. Casillas, O. Cordón, F. Herrera. COR: A Methodology to Improve Ad Hoc Data-Driven Linguistic Rule Learning Methods by Inducing Cooperation Among Rules. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics 32:4 (2002) 526-537. doi: 10.1109/TSMCB.2002.1018771 PDF Icon
  • [0134] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Techniques for designing and refining linguistic fuzzy models to improve their accuracy. In C.T. Leondes (Ed.): Intelligent Systems: Techniques and Applications, Volume II: Fuzzy Systems, Neural Networks and Expert Systems, CRC Press, Boca Raton, EE.UU., 2002, 143-180. ISBN 0-8493-1121-7.
  • [0137] J. Casillas, O. Cordón, F. Herrera. Different Approaches to Induce Cooperation in Fuzzy Linguistic Models Under the COR Methodology. B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), Technologies for Constructing Intelligent Systems 1: Tasks (Physica-Verlag, 2002), 321-334. PDF Icon
  • [0209] J. Casillas, O. Cordón, F. Herrera, J.J. Merelo. Cooperative coevolution for learning fuzzy rule-based systems. Proc. of the 5th International Conference on Artificial Evolution (EA'01), Le Creusot, France (2001) 97-108. Also in P. Collet, C. Fonlupt, J.-K. Hao, E. Lutton, M. Schoenauer (Eds.), Artificial Evolution, Lecture Notes on C. S., LNCS 2310 311, 2002.
  • [0210] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir. Hybridizing hierarchical and weighted linguistic rules. Proceedings of the 17th ACM Symposium on Applied Computing (SAC 2002), Madrid (Spain), 812-816, March 11-14, 2002.
  • [0211] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Hybridization of components to improve the accuracy in linguistic fuzzy modeling. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002), Vol. 3, Annecy (France), 1969-1977, July 1-5, 2002.
  • [0212] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improvements to the COR nethodology by means of weighted fuzzy rules. 7th Online World Conference on Soft Computing and its Applications (WSC7 2002), September 23 - October 4, 2002.
  • [0213] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improving simple linguistic fuzzy models by means of the weighted COR methodology. Proceedings of the 8th Ibero-American Conference on Artificial Intelligence, In F.J. Garijo, J.C. Riquelme, M. Toro (Eds.): Advances in Artificial Intelligence - IBERAMIA 2002, LNCS 2527, Seville (Spain), 294-302, November 12-15, 2002. ISSN 0302-9743.
  • [0214] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Mejoras a la metodología COR mediante el uso de reglas difusas ponderadas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy (ESTYLF 2002), León (Spain), 541-546, September 17-20, 2002.


2001 (8)

  • [0017] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Building Fuzzy Graphs: Features and Taxonomy of Learning Non-Grid-Oriented Fuzzy Rule-Based Systems. International Journal of Intelligent Fuzzy Systems, 11 (2001) 99-119. PDF Icon
  • [0019] R. Alcalá, J. Casillas, J.L. Castro, A. Gonzalez, F. Herrera. A Multicriteria Genetic Tuning for Fuzzy Logic Controllers. Mathware and Soft Computing, Vol. 8:2 (2001) 179-201. PDF Icon
  • [0032] J. Casillas, O. Cordón, F. Herrera, M.J. Del Jesus. Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process for High-Dimensional Problems. Information Sciences 136:1-4 (2001) 135-157. PDF Icon
  • [0035] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Improvement to the Cooperative Rules Methodology by Using the Ant Colony System Algorithm. Mathware and Soft Computing Vol 8:3 (2001) 321-335. PDF Icon
  • [0218] J. Casillas, O. Cordón, M.J. Del Jesus, F. Herrera. Genetic tuning of fuzzy rule-based systems integrating linguistic hedges. Proceedings of the 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver (Canada), 1570-1574, 2001.
  • [0219] J. Casillas, O. Cordón, F. Herrera. A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. Proceedings of the International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester (UK), 118-121, 2001.
  • [0220] R. Alcalá, J. Casillas, O. Cordón, F. Herrera. Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. Proceedings of the International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester (United Kingdom), 237-240, September 5-7, 2001.
  • [1607] J. Casillas, O. Cordón, F. Herrera, J.J. Merelo. Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. Artificial Evolution, P. Collet, C. Fonlupt, J-K. Hao, E. Lutton, M. Schoenauer (Eds.), Lecture Notes in Computer Science 2310, Springer-Verlag, 2002, 311-322. (Selected Papers of the 5th Intl. Conf. EA2001, Lecreusot, France, Oct. 2001).


2000 (5)

  • [0142] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir. Techniques for Learning and Tuning Fuzzy Rule-Based Systems for Linguistic Modeling and Their Application. In: KNOWLEDGE-BASED SYSTEMS. Techniques and Applications Vol III. C.T. Leondes (Ed.), Academic Press, EE.UU., 2000, 889-941. ISBN 0-12-443878-4.
  • [0223] J. Casillas, O. Cordón, F. Herrera. Learning Fuzzy Rule-Based Systems Using Ant Colony Optimization Algorithms. Proc. of ANTS'2000. From Ant Colonies to Artificial Ants: Second Interantional Workshop on Ant Algorithms, Brussels (Belgium), September 7-9, 13-21, 2000. PDF Icon
  • [0228] J. Casillas, O. Cordón, F. Herrera. Generacion de Reglas Difusas con Buen Nivel de Cooperacion Mediante ALgoritmos de Hormigas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 291-296, Septiembre 2000.
  • [0235] J. Casillas, O. Cordón, F. Herrera. Improving the Wang and Mendel's Fuzzy Rule Learning Method by Inducing Cooperation Among Rules. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. III, 1682-1688, 2000. PDF Icon
  • [0237] J. Casillas, O. Cordón, F. Herrera. Generación de reglas difusas con buen nivel de cooperación mediante algoritmos de hormigas. Proceedings of the X Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2000), Sevilla (Spain), 291-296, 2000.


1999 (1)

  • [0246] R. Alcalá, J. Casillas, A. González. Tuning fuzzy logic controllers for energy efficiency consumption in buildings. Proc. EUSFLAT-ESTYLF Joint Conference 1999, I International Conference in Fuzzy Logic and Technology and IX Congreso Español sobre Tecnologías y Lógica Fuzzy, Palma de Mallorca (Spain), 103-106, September 22-25, 1999.