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SCI2S Publications (R. Alcalá)

Number of Results: 92

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2014 (3)

  • [1732] M.J. Gacto, M. Galende, R. Alcalá, F. Herrera. METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems. Information Sciences 276 (2014) 63-79. doi: 10.1016/j.ins.2014.02.047
  • [1771] M. Galende, M.J. Gacto, G. Sainz, R. Alcalá. Comparison and Design of Interpretable Linguistic vs. Scatter FRBSs: GM3M Generalization and New Rule Meaning Index (RMI) for Global Assessment and Local Pseudo-Linguistic Representation. Information Sciences 282 (2014) 190-213. doi: 10.1016/j.ins.2014.05.023
  • [1816] M. Fazzolari, R. Alcalá, F. Herrera. A Multi-Objective Evolutionary Method for Learning Granularities based on Fuzzy Discretization to Improve the Accuracy-Complexity trade-off of Fuzzy Rule-Based Classification Systems: D-MOFARC Algorithm. Applied Soft Computing 24 (2014) 470-481. PDF Icon


2013 (4)

  • [1521] M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, F. Herrera. A Review of the Application of Multi-Objective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE Transactions on Fuzzy Systems, 21:1 (2013) 45-65.
    COMPLEMENTARY MATERIAL to the paper: links to the papers with doi, new contributions, etc

  • [1676] M.J. Gacto, M. Galende, R. Alcalá, F. Herrera. Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad (India), pp. 1-7, 7-10 July 2013.
  • [1680] M. Fazzolari, B. Giglio, R. Alcalá, F. Marcelloni, F. Herrera. A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. Knowledge-Based Systems 54 (2013) 32-41. doi: 10.1016/j.knosys.2013.07.011
  • [1682] M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, F. Herrera. Improving a Fuzzy Association Rule-Based Classification Model by Granularity Learning based on Heuristic Measures over Multiple Granularities. 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2013), pp. 44-51, 2013.. PDF Icon


2012 (6)

  • [1328] M.J. Gacto, R. Alcalá, F. Herrera. A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence 36:2 (2012) 330-347. doi: 10.1007/s10489-010-0264-x PDF Icon
  • [1336] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, G. Olague, F. Herrera. Hybrid Laser Pointer Detection Algorithm Based on Template Matching and Fuzzy Rule-Based Systems for Domotic Control in Real Home Enviroments. Applied Intelligence 36:2 (2012) 407-423. doi: 10.1007/s10489-010-0268-6 PDF Icon
  • [1419] F. Chávez, F. Fernández, M.J. Gacto, R. Alcalá. Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. International Journal of Computational Intelligence Systems 5:2 (2012) 368-386. doi: 10.1080/18756891.2012.685327 PDF Icon
  • [1452] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Aprendizaje Evolutivo de un Sistema Basado en Reglas Difusas para un Sistema de Control de Entrono por Medio de Puntero Láser. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 265-270, 1-3 Febrero 2012. PDF Icon
  • [1478] M.J. Gacto, R. Alcalá, F. Herrera. Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 295-300, 1-3 Febrero 2012.
  • [1536] B. Giglio, F. Marcelloni, M. Fazzolari, R. Alcalá, F. Herrera. A Case Study on the Application of Instance Selection Techniques for Genetic Fuzzy Rule-Based Classifiers. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), Brisbane (Australia), pp. 920-927, 10-15 June 2012.


2011 (8)

  • [1329] R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi. Multiobjective Genetic Fuzzy Rule Selection of Single Granularity-Based Fuzzy Classification Rules and its Interaction with the Lateral Tuning of Membership Functions. Soft Computing 15:12 (2011) 2303-2318. doi: 10.1007/s00500-010-0671-2 PDF Icon
  • [1375] M.J. Gacto, R. Alcalá, F. Herrera. Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. 5th International Workshop On Genetic And Evolutionary Fuzzy Systems (GEFS 2011), pp. 73-80, 2011..
  • [1380] R. Alcalá, M.J. Gacto, F. Herrera. A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems 19:4 (2011) 666-681. doi: 10.1109/TFUZZ.2011.2131657 PDF Icon
    COMPLEMENTARY MATERIAL to the paper: dataset partitions, results, figures, etc

  • [1383] M.J. Gacto, R. Alcalá, F. Herrera. Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures. Information Sciences, 181:20 (2011) 4340–4360.
    COMPLEMENTARY MATERIAL to the paper: links to the papers with doi, new contributions, etc

  • [1387] M.J. Gacto, R. Alcalá, F. Herrera. A double axis classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. 9th International Workshop on Fuzzy Logic and Applications (WILF 2011), LNAI 6857, pp. 99–106, 2011.
  • [1388] Francisco Fernández, Francisco Chávez, R. Alcalá, F. Herrera. Musical Genre Classification by means of Fuzzy Rules Based Systems: A preliminary approach. IEEE Congress on Evolutionary Computation (CEC 2011), New Orleans (Louisiana, USA), pp. 2681-2687, 5-8 June 2011. PDF Icon
  • [1400] F. Chávez, F. Fernandez, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Evolutionary Learning of a Laser Pointer Detection Fuzzy System for an Environment Control System. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei (Taiwan), pp. 256-263, 27-30 June 2011. PDF Icon
  • [1402] J. Alcalá-Fdez, R. Alcalá, F. Herrera. A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems with Genetic Rule Selection and Lateral Tuning. IEEE Transactions on Fuzzy Systems 19:5 (2011) 857-872. doi: 10.1109/TFUZZ.2011.2147794 PDF Icon


2010 (9)

  • [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 PDF Icon
  • [1221] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. F. Fernández de Vega, E.Cantú-Paz (Eds.): Parallel and Distributed Computational Intelligence, Studies in Computational Intelligence 269, pp. 235-261, Springer-Verlag Berlin Heidelberg. PDF Icon
  • [1228] M.J. Gacto, R. Alcalá, F. Herrera. Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems 18:3 (2010) 515-531. doi: 10.1109/TFUZZ.2010.2041008 PDF Icon
  • [1253] M.J. Gacto, R. Alcalá, F. Herrera. Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo. Proceedings of the XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), pp. 73-78, Huelva (Spain), 3-5 February 2010, ISBN 978-84-92944-02-6.
  • [1254] M.J. Gacto, R. Alcalá, F. Herrera. Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), LNAI 6097, Springer, Córdoba (Spain), pp. 228-238, 1-4 June 2010, ISBN 978-3-642-13024-3.
  • [1264] Francisco Chávez, Francisco Fernández, J. Alcalá-Fdez, R. Alcalá, F. Herrera, Gustavo Olague. Genetic Tuning of a Laser Pointer Environment Control Device System for Handicapped People with Fuzzy Systems. In Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2010), pp. 1812-1819, Barcelona (Spain), 18-23 July 2010, ISBN 978-1-4244-8126-2.. PDF Icon
  • [1265] J. Alcalá-Fdez, R. Alcalá, F. Herrera. A Fuzzy Associative Classification System with Genetic Rule Selection for High- Dimensional Problems. Proceedings of the Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2010) , pp. 33-38, Asturias (Spain), 17 – 19 March 2010, ISBN 978-1-4244-4622-3.
  • [1283] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera. Ajuste Evolutivo de un Sistema de Control de Entorno para Personas con Discapacidad utilizando Sistemas Difusos. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010), pp. 535-542, Valencia (España), 7-10 Septiembre 2010. PDF Icon
  • [1284] J. Alcalá-Fdez, R. Alcalá, F. Herrera. Un Modelo de Clasificación basado en Reglas de Asociación Difusas para Problemas de Alta Dimensionalidad y Selección Evolutiva de Reglas. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 249-254, 3-5 February 2010.


2009 (11)

  • [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 PDF Icon
  • [0671] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems. Applied Intelligence 31:1 (2009) 15-30. doi: 10.1007/s10489-007-0107-6 PDF Icon
  • [0838] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera. Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms. Fuzzy Sets and Systems 160:7 (2009) 905-921. doi: 10.1016/j.fss.2008.05.012 PDF Icon
  • [0837] M.J. Gacto, R. Alcalá, F. Herrera. Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems. Soft Computing 13:5 (2009) 419-436. doi: 10.1007/s00500-008-0359-z PDF Icon
  • [1038] M.J. Gacto, R. Alcalá, F. Herrera. Algoritmo Genético Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilación, Calefacción y Aire Acondicionado. En Actas del Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), pp. 595-602, Málaga (Spain), 11-13 February 2009. ISBN 978-84-691-6813-4.
  • [1041] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. Distributed Genetic Tuning of Fuzzy Rule-Based Systems. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), 1740-1744, Lisbon (Portugal), 20-24 July 2009.
  • [1054] R. Alcalá, P. Ducange, F. Herrera, B. Lazzerini, F. Marcelloni. A Multi-Objective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy Rule-Based Systems. IEEE Transactions on Fuzzy Systems 17:5 (2009) 1106-1122. doi: 10.1109/TFUZZ.2009.2023113 PDF Icon
  • [1055] M.J. Gacto, R. Alcalá, F. Herrera. A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), 1146-1151, Lisbon (Portugal), 20-24 July 2009. ISBN 978-989-95079-6-8.
  • [1056] R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi. Generating Single Granularity Based Fuzzy Classification Rules for Multiobjective Genetic Fuzzy Rule Selection. In Proceedings of the 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2009), pp. 1718-1723, Jeju Island (Korea), 20-24 August 2009, ISBN 978-1-4244-3597-5. PDF Icon
  • [1079] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera. Evolutionary Parallel and Gradually Distributed Lateral Tuning of Fuzzy Rule-Based Systems. Evolutionary Intelligence 2 (2009) 5-19. doi: 10.1007/s12065-009-0025-0 PDF Icon
  • [1216] M.J. Gacto, R. Alcalá, F. Herrera. Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), pp. 109-114, Pisa (Italy), November 2009, ISBN 978-0-7695-3872-3.


2008 (4)

  • [0656] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. In: Ghosh, A., Dehuri, S., Ghosh, S. (eds.): Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases Vol. 98, Springer Verlag, Heidelberg, Germany, 2008, 91-107. ISBN 978-3-540-77466-2.
  • [0867] M.J. Gacto, R. Alcalá, F. Herrera. Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge in the MOEA Design Process. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1446-1453, 22-28 June 2008.
  • [0868] M.J. Gacto, R. Alcalá, F. Herrera. An Improved Multi-Objective Genetic Algorithm for Tuning Linguistic Fuzzy Systems. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1121-1128, 22-28 June 2008.
  • [0869] P. Ducange, R. Alcalá, F. Herrera, B. Lazzerini, F. Marcelloni. Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. Proceedings of the 3rd International Workshop on HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS (HAIS 2008), LNAI 5271, Springer-Verlag, Burgos (Spain), 747-754, 24-26 September 2008.


2007 (8)

  • [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 PDF Icon
  • [0651] R. Alcalá, M.J. Gacto, F. Herrera, J. Alcalá-Fdez. A Multi-objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15:5 (2007) 539–557. doi: 10.1142/S0218488507004868 PDF Icon
  • [0556] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation. Soft Computing 11:5 (2007) 401-419. doi: 10.1007/s00500-006-0106-2 PDF Icon
  • [0572] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of Accurate and Compact Fuzzy Rule Based Systems Based on the 2-Tuples Linguistic Representation. International Journal of Approximate Reasoning 44:1 (2007) 45-64. doi: 10.1016/j.ijar.2006.02.007 PDF Icon
  • [0598] R. Alcalá, J. Alcalá-Fdez, F. Herrera. A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and its Interaction with Rule Selection. IEEE Transactions on Fuzzy Systems 15:4 (2007) 616-635. doi: 10.1109/TFUZZ.2006.889880 PDF Icon
  • [0657] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1367-1372, 23-26 July 2007. PDF Icon
  • [0658] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1538-1543, 23-26 July 2007. PDF Icon
  • [0668] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera. Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas. Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy y Soft Computing, LFSC'2007 (EUSFLAT), Zaragoza (Spain), 25-32, 11-14 September 2007. PDF Icon


2006 (6)

  • [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 PDF Icon
  • [0571] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System. In C. Kahraman (Ed.): Fuzzy Applications in Industrial Engineering, Studies in Fuzziness and Soft Computing Vol. 201, Springer Verlag, Heidelberg, Germany, 2006, 89-117. ISBN 978-3-540-33516-0. PDF Icon
  • [0573] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. Modeling Decisions for Artificial Intelligence 2006 (MDAI 2006), Tarragona (Spain), Lecture Notes on Artificial Intelligence 3885, 317-328, 3-5 April 2006. ISSN 0302-9743. PDF Icon
  • [0633] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Obtención de Sistemas Basados en Reglas Difusas Precisos y Compactos Mediante Algoritmos Genéticos Multiobjetivo. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 1-6, 20-22 September 2006, ISBN 84-689-9547-9.
  • [0632] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Proceedings of the 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE06), LNCS 4031, Springer-Verlag, Annecy (France), 452-461, 27-30 June 2006. ISSN 0302-9743. PDF Icon
  • [0655] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 53-62, 27-28 September 2006.


2005 (6)

  • [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 PDF Icon
  • [0455] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. In Proceedings of the 14th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005), Reno, Nevada (USA), 797-802, May 22-25, 2005. ISBN 0-7803-9159-4. PDF Icon
  • [0456] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. A New Genetic Fuzzy System Based on Linguistic 2-Tuples to Learn Knowledge Bases. Proceedings of the 1st International Workshop on Genetic Fuzzy Systems (GFS 2005), Granada (Spain), 107-112, March 17-19, 2005. ISBN 84-689-1117-8. PDF Icon
  • [0551] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Genetic Lateral and Amplitude Tuning of Membership Functions for Fuzzy Systems. Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisia), 589-595, November 5-7, 2005. PDF Icon
  • [0552] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Ajuste Evolutivo Lateral y de Amplitud de etiquetas para Sistemas Basados en Reglas Difusas. Simposio de Inteligencia Computacional (SICO2005), Granada (Spain), 481-488, September 13-16, 2005. ISBN 84-9732-444-7. PDF Icon
  • [0553] M. Mucientes, R. Alcalá, J. Alcalá-Fdez, J. Casillas. Learning Weighted Linguistic Rules for Mobile Robotics. XI World Congress of International Fuzzy Systems Association (IFSA05), Vol. 3, Beijing (China), 1279-1285, July 28-31, 2005. PDF Icon


2004 (3)

  • [0370] J. Alcalá-Fdez, R. Alcalá, O. Cordón, F. Herrera. Aprendizaje de Pesos y Selección Evolutiva para la Reducción de la Base de Reglas Difusas. Actas del Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04), Córdoba (Spain), 118-125, February 4-6, 2004. ISBN 84-688-4224-9. PDF Icon
  • [0395] J. Alcalá-Fdez, R. Alcalá, F. Herrera. Aprendizaje y Ajuste Genético De Sistemas Difusos Basado en la Representación de 2-Tuplas Lingüísticas. Actas del XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 333-338, September 15-17, 2004. ISBN 84-609-2160-3. PDF Icon
  • [0400] R. Alcalá, F. Herrera. Genetic Tuning on Fuzzy Systems Based on the Linguistic 2-Tuples Representation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Vol. 1, Budapest (Hungary), 233-238, July 25-29, 2004. ISBN 0-7803-8353-2.


2003 (11)

  • [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
  • [0011] R. Alcalá, J.R. Cano, O. Cordón, F. Herrera, P. Villar, I. Zwir. Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules. International Journal of Approximate Reasoning 32:2-3 (2003) 187-215. doi: 10.1016/S0888-613X(02)00083-X 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
  • [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.
  • [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.
  • [0308] R. Alcalá, F. Herrera, O. Cordón. Genetic Fuzzy Systems: Short Introduction and Models for Fuzzy Control of HVAC Systems. Proceedings of the Fifth Conference on Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial and Society Problems (EUROGEN 2003), Barcelona (Spain), 8-9, September 15-17, 2003.
  • [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. PDF Icon
  • [0306] R. Alcalá, O. Cordón, F. Herrera. Genetic Learning of Weights and Rule Selection For Improving the Fuzzy Control Performance of an HVAC System. Proceedings of the Fifth Conference on Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial and Society Problems (EUROGEN 2003), Barcelona (Spain), 94-95, September 15-17, 2003.
  • [0328] R. Alcalá, O. Cordón, F. Herrera. Algoritmos Genéticos para el ajuste de Parámetros y Selección de Reglas en el Control Difuso de un Sistema de Climatización HVAC para Grandes Edificios. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'03), Gijón (Spain), 39-46, February 5-7, 2003. ISBN 84-607-65-26-1.
  • [0351] R. Alcalá, O. Cordón, F. Herrera. Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. In J. Lawry, J. Shanahan, A. Ralescu (Eds.). Modelling with Words, LNCS 2873, Springer-Verlag, Germany, 2003, 44-63. ISBN 3-540-20487-3.
  • [0354] R. Alcalá, O. Cordón, F. Herrera, I. Zwir. An Iterative Learning Methodology to Design Hierarchical Systems of Linguistic Rules for Linguistic Modeling. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.): Accuracy Improvements in Linguistic Fuzzy Modeling, Studies in Fuzziness and Soft Computing Vol. 129, Springer Verlag, Germany, 2003, 277-301. ISBN 3-540-02933-8.


2002 (7)

  • [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.
  • [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.
  • [0413] R. Alcalá, O. Cordón, F. Herrera, I. Zwir. Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. Proc. of the Fourth Int. Conference on Enterprise Information Systems (ICEIS 2002), Vol. 1, Ciudad Real (Spain), 325-333, April 3-6, 2002.


2001 (4)

  • [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
  • [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
  • [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.


2000 (1)

  • [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.


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.