SCI2S Publications (R. Alcalá)

Number of Results: 106

Jump to Year: 2024, 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, 2001, 2000, 1999

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2024 (1)

• [3100] A. Torres-Martos, A. Anguita-Ruiz, M. Bustos-Aibar, A. Ramírez-Mena, M. Arteaga, G. Bueno, R. Leis, C.M. Aguilera, R. Alcalá, J. Alcalá-Fdez. Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study. Artificial Intelligence in Medicine 156 (2024) 102962. doi: 10.1016/j.artmed.2024.102962
  

2023 (3)

• [3030] Á. Torres-Martos, M. Bustos-Aibar, A. Ramírez-Mena, S. Cámara-Sánchez, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity. Genes 14:2 (2023) 248. doi: 10.3390/genes14020248
  
• [3043] C. Biedma-Rdguez, M.J. Gacto, A. Anguita-Ruiz, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets and Systems 465 (2023) 108511. doi: 10.1016/j.fss.2023.03.014
  
• [3054] M. Arteaga, M.J. Gacto, M. Galende, J. Alcalá-Fdez, R. Alcalá. Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Systems with Applications 234 (2023) 121011. doi: 10.1016/j.eswa.2023.121011
  

2022 (3)

• [2961] A. Segura-Delgado, A. Anguita-Ruiz, R. Alcalá, J. Alcalá-Fdez. Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies. Expert Systems with Applications 193 (2022) 116411. doi: 10.1016/j.eswa.2021.116411
  
• [2995] A. Torres-Martos, A. Anguita-Ruiz, M. Bustos-Aibar, S. Cámara-Sánchez, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity. 9th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2022), Lecture Notes in Bioinformatics (LNBI) 13347, Gran Canaria (Spain), 359-374, June 27-30, 2022. doi: 10.1007/978-3-031-07802-6_31
  
• [2998] C. Biedma-Rdguez, M.J. Gacto, A. Anguita-Ruiz, J. Alcalá-Fdez, R. Alcalá. Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension. International Journal of Fuzzy Systems 24 (2022) 3082–3103. doi: 10.1007/s40815-022-01324-w
  

2021 (1)

• [2927] C. Biedma-Rdguez, M.J. Gacto; R. Alcalá; J. Alcalá-Fdez. Meta-Fuzzy Items for Fuzzy Association Rules. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021), Luxembourg (Luxembourg), 1-6, 11-14 July, 2021. doi: 10.1109/FUZZ45933.2021.9494571
  

2020 (2)

• [2799] A. Anguita-Ruiz, A. Segura-Delgado, R. Alcalá, C.M. Aguilera, J. Alcalá-Fdez. eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research. PLoS Computational Biology 16:4 (2020) 1-34. doi: 10.1371/journal.pcbi.1007792
  
• [2800] A. Segura-Delgado, M.J. Gacto, R. Alcalá, J. Alcalá-Fdez. Temporal association rule mining: An overview considering the time variable as an integral or implied component. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 10:4 (2020) e1367. doi: 10.1002/widm.1367
  

2019 (1)

• [2695] M.J. Gacto, J.M. Soto-Hidalgo, J. Alcalá-Fdez, R. Alcalá. Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. IEEE Access 7 (2019) 108916-108939. doi: 10.1109/ACCESS.2019.2933261
  

2018 (1)

• [2422] R. Alcalá, M.J. Gacto, J. Alcalá-Fdez. Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017). Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery 8:2 (2018) 1-17. doi: 10.1002/widm.1239
  

2017 (2)

• [2307] J. Alcalá-Fdez, R. Alcalá, S. González, Y. Nojima, S. García. Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. IEEE Transactions on Fuzzy Systems 25:6 (2017) 1376-1390. doi: 10.1109/TFUZZ.2017.2718491
  
• [2424] C. del Val, E. Ruiz, R. Alcalá, A. Fernández, C. Cano, W. Fajardo, J. Alcalá-Fdez. Can Bioinformatics close the gender gap in STEM skills? : Reflections from the I Bioinformatics UGR Workshop. III Jornadas Andaluzas de Informática (JAI 2017), Canillas de Aceituno (Spain), 14-17, September 22-24, 2017.
  

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.
  

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..
  

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
  
• [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
  
• [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
  
• [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.
  
• [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
  
• [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
  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.
  
• [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.
  
• [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
  

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
  
• [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.
  
• [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
  
• [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..
  
• [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.
  
• [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
  
• [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
  
• [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
  
• [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
  
• [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
  
• [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.
  
• [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
  
• [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
  
• [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
  
• [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
  
• [0572] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero. Genetic Learning of Accurate and CompactFuzzy Rule Based Systems Based on the 2-Tuples LinguisticRepresentation. International Journal of Approximate Reasoning 44:1 (2007) 45-64. doi: 10.1016/j.ijar.2006.02.007
  
• [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
  
• [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.
  
• [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.
  
• [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.
  

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
  
• [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.
  
• [0573] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera. Improving Fuzzy Rule-Based Decision Modelsby 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.
  
• [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.
  
• [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
  
• [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.
  
• [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.
  
• [0551] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Genetic Lateral andAmplitude 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.
  
• [0552] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera. Ajuste EvolutivoLateral y de Amplitud de etiquetas para Sistemas Basados en ReglasDifusas. Simposio de Inteligencia Computacional (SICO2005), Granada (Spain), 481-488, September 13-16, 2005. ISBN 84-9732-444-7.
  
• [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.
  

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.
  
• [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.
  
• [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
  
• [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
  
• [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.
  
• [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.
  
• [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.
  
• [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.
  
• [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.
  
• [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.