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SCI2S Publications (P. Villar)

Number of Results: 48

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In Press (1)


2016 (3)

  • [2104] P. Villar, R. Montes, A.M. Sánchez, F. Herrera. Fuzzy-Citation-KNN: a fuzzy nearest neighbor approach for multi-instance classification. 2016 IEEE World Congress on Computational Intelligence (WCCI 2016). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), Vancouver (Canada), pp.946-952, july 24-29, 2016. PDF Icon
  • [2216] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Aplicación del uso de valoraciones hesitant lingüísticas en una red social de economía colaborativa. Actas del XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2016). Donostia-San Sebastián (Spain), , pp. 96-97, 25-27 Mayo, 2016.. PDF Icon
  • [2217] P. Villar, R. Montes, A.M. Sánchez, F. Herrera. Una aproximación difusa del vecino más cercano para clasificación multi-instancia. Actas del XVIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2016), Donostia-San Sebastián (Spain), pp. 224-225, 25-27 Mayo, 2016.. PDF Icon


2015 (3)

  • [1938] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Applied Soft Computing 35 (2015) 949-957. doi: 10.1016/j.asoc.2015.01.030 PDF Icon BibTex Icon
  • [1958] P. Villar, A. Fernández, R. Montes, A.M. Sánchez, F. Herrera. Improving the OVO performance in fuzzy rule-based classification systems by the genetic learning of the granularity level. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), Estambul (Turkey) august 2-5, 2015.
  • [2001] P. Villar, A. Fernandez, F. Herrera. On the combination of pairwise and granularity learning for improving fuzzy rule based classi cation systems: GL-FARCHD-OVO. 9th International Conference on Computer Recognition Systems (CORES 2015), Wroclaw (Poland), 1-8, May 25-27, 2015. PDF Icon


2014 (3)

  • [1716] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Diseño de un Sistema de Clasificación Basado en Reglas Difusas para one-class mediante el aprendizaje genético de la base de datos. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 621-626, 5-7 Febrero, 2014. PDF Icon
  • [1804] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Designing a compact Genetic Fuzzy Rule-Based System for One-Class Classification. 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing (China), pp.2163-2170, july 6-11, 2014. PDF Icon
  • [1805] R. Montes, A.M. Sánchez, P. Villar, F. Herrera. Aplicación del uso de valoraciones hesitant lingüísticas para una consultora de inmuebles. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 181-186, 5-7 Febrero, 2014. PDF Icon


2013 (1)

  • [1684] P. Villar, A.M. Sánchez, R. Montes, F. Herrera. Un Algoritmo Genético para aprendizaje de Sistemas de Clasificación Basados en Reglas Difusas dentro del paradigma one-class . Actas del IV Simposio sobre Lógica Fuzzy y Soft Computing, dentro del IV Congreso Español de Informática (CEDI 2013), Madrid (Spain), pp. 1105-1114, 17-20 de septiembre de 2013.


2012 (3)

  • [1481] R.A. Carrasco, P. Villar. A new model for linguistic summarization of heterogeneous data: an application to tourism web data sources. Soft Computing 16:1 (2012) 135-151. PDF Icon
  • [1523] P. Villar, A. Fernandez, R.A. Carrasco, F. Herrera. Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classi cation Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:3 (2012) 369-397. doi: S0218488512500195 PDF Icon
  • [1526] R.A. Carrasco, P. Villar, M. Hornos, E. Herrera-Viedma. A Linguistic Multi-Criteria Decision Making Model Applied to Hotel Service Quality Evaluation from Web Data Sources . International Journal of Intelligent Systems 27:7 (2012) 704-731. doi: 10.1002/int.21546


2011 (3)

  • [1421] P. Villar, A. Fernandez, F. Herrera. Studying the Behaviour of a Multiobjective Genetic Algorithm to Design Fuzzy Rule-Based Classification Systems for Imbalanced Data-sets. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1239-1246, Taipei (Taiwan) 27-30 June 2011. PDF Icon
  • [1480] R.A. Carrasco, P. Villar, M.J. Hornos, E. Herrera-Viedma. A Linguistic Multi-Criteria Decision Making Model Applied to the Integration of Education Questionnaires. International Journal of Computational Intelligence Systems 4:5 (2011) 946-959. PDF Icon
  • [2287] R. Romero Zaliz, J. Arnedo, V Dueñas, P. Villar, M.J. del Jesús, J. Cortés, I. Zwir, C. del Val. Desarrollo de una página web para el aprendizaje interactivo del lenguaje de programación R. Congreso Internacional de Innovación Docente, Cartagena, Murcia, Región de Murcia, España, 2011.


2010 (1)

  • [1282] P. Villar, A. Fernandez, F. Herrera. A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2010) Dortmund (Germany), CCIS 80 pp. 741-750, 28 June - 02 July 2010. PDF Icon


2009 (3)

  • [0894] A.M. Sánchez, M. Lozano, P. Villar, F. Herrera. Hybrid Crossover Operators with Multiple Descendents for Real-Coded Genetic Algorithms: Combining Neighborhood-based Crossover Operators. International Journal of Intelligent Systems 24:5 (2009) 540-567. doi: 10.1002/int.20348 PDF Icon
  • [1048] P. Villar, F. Herrera, A. Fernandez. A Genetic Learning of the Fuzzy Rule-Based Classification System Granularity for Highly Imbalanced Data-Sets. 2009 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE09) Jeju Island, (Korea), 1689-1694, 20-24 August 2009.
  • [1162] P. Villar, A. Fernandez, A.M. Sánchez, F. Herrera. Un Algoritmo Genético para Selección de Características en Sistemas de Clasificación Basados en Reglas Difusas para conjuntos de datos altamente no balanceados. Actas de la XIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA09) Sevilla (Spain), 519-528, 9-13 November 2009.


2007 (3)

  • [0672] F. Herrera, P. Villar. Un algoritmo genético para aprendizaje de un sistema basado en reglas difusas tipo Takagi-Sugeno. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 543-548, 14-16 February 2007. PDF Icon
  • [0753] J. Acosta, A. Nebot, P. Villar, J.M. Fuertes. Optimization of Fuzzy Partitions for Inductive Reasoning using Genetic Algorithms. International Journal of Systems Science 38:12 (2007) 991-1011. doi: 10.1080/00207720701657581 PDF Icon
  • [0767] J. Acosta, A. Nebot, P. Villar, J.M. Fuertes. Learning fuzzy partitions in FIR methodology. International Journal of General Systems 36:6 (2007) 703-731. doi: 10.1080/03081070701458548 PDF Icon


2006 (1)

  • [0635] J. Acosta, A. Nebot, P. Villar, J.M. Fuertes. Estimating the maintenance cost in electric networks using an hybrid soft computing methodology. In Proceedings of the International Mediterranean Modelling Multiconference (IMM 2006), Barcelona (Spain), 349-358, 4-6 October 2006. PDF Icon


2005 (2)

  • [0561] A.M. Sánchez, F. Herrera, M. Lozano, P. Villar. Estudio de operadores de cruce con múltiples descendientes para algoritmos genéticos con codificación real. In Proceedings del MAEB'05 (Cuarto congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Granada (Spain), 31-38, 2005.
  • [0562] A. Nebot, J. Acosta, P. Villar. Dealing with electrical distribution problems using the fuzzy inductive reasoning methodology. Ninth IASTED International Conference ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, Benidorm (Spain), 268-274, 2005.


2004 (5)

  • [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
  • [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.
  • [0390] J. Acosta, A. Nebot, P. Villar, J.M. Fuentes. Algoritmos Genéticos para el Aprendizaje de Particiones Difusas en Razonamiento Inductivo. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 110-117, 2004.
  • [0518] J. Acosta, A. Nebot, P. Villar, J. M. Fuertes. Automatic Learning of Fuzzy Partitions in Human Central Nervous System Modeling using Genetic Algorithms. In Proceedings of the 2004 International Conference on Health Sciences Simulation (HSS 2004), 90 - 95, in 2004 Western Simulation Multiconference (WMC'04), San Diego (USA), january 2004, 18 - 22.
  • [0519] J. Acosta, A. Nebot, P. Villar. Optimization of Fuzzy Membership Functions by Genetic Algorithms.. Fifth International Conference on Control, Virtual Instrumentation and Digital Systems (CICINDI 2004), México (2004).


2003 (3)

  • [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
  • [0353] O. Cordón, F. Herrera, M.J. del Jesús, L. Magdalena, A.M. Sánchez, P. Villar. A Multiobjetive Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems. Intelligent System for Information Processing: From Representation to Applications, B. Bouchon-Meunier, L. Foulloy, R.R. Yager (Eds.), Elsevier, 2003, 315-326.
  • [0355] O. Cordón, M.J. del Jesus, F. Herrera, L. Magdalena, P. Villar. A Multiobjective Genetic Learning Process for Joint Feature Selection and Granularity and Context Learning in Fuzzy Rule-Based Classification Systems. Interpretability Issues in Fuzzy Modeling. /J./ Casillas, O. Cordón, F. Herrera, L. Magdalena. (Springer Verlag, Studies in Fuzziness and Soft Computing Vol. 128), 2003, 79-99.


2002 (5)

  • [0406] O. Cordón, F. Herrera, J. De la Montaña, A.M. Sánchez, P. Villar. A Prediction System of Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 381-391, November 2002.
  • [0407] F. Herrera, M. Lozano, E. Pérez, A.M. Sánchez, P. Villar. Múltiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with BLX-α Crossover Operator for Real-Coded Genetic Algorithms. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 392-401, November 2002. PDF Icon
  • [0409] O. Cordón, F. Herrera, M.J. del Jesus, L. Magdalena, A.M. Sánchez, P. Villar. Utilización de Algoritmos Genéticos Multiobjetivo para Selección de Características y Diseño de la Base de Conocimiento de un Sistema de Clasificación Basado en Reglas Difusas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 411-416, September 2002.
  • [0411] O. Cordón, F. Herrera, M.J. del Jesús, L. Magdalena, A.M. Sánchez, P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 823-830, September 2002.
  • [0415] O. Cordón, F. Herrera, J. de la Montaña, A.M. Sánchez, P. Villar. Aprendizaje evolutivo de un sistema basado en reglas difusas para la predicción de enfermedades cardiovasculares. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 183-190, 2002.


2001 (3)

  • [0021] O. Cordón, F. Herrera, P. Villar. Generating the Knowledge Base of a Fuzzy Rule-Based System by the Genetic Learning of Data Base. IEEE Transactions on Fuzzy Systems 9:4 (2001) 667-674. PDF Icon
  • [0036] O. Cordón, F. Herrera, L. Magdalena, P. Villar. A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-Based System Data Base. Information Science 136 (2001) 85-107. PDF Icon
  • [0422] O. Cordón, M.J. del Jesus, F. Herrera, P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1253-1258, July 2001.


2000 (4)

  • [0049] O. Cordón, F. Herrera, P. Villar. Analysis and Guidelines to Obtain a Good Fuzzy Partition Granularity for Fuzzy Rule-Based Systems using Simulated Annealing. International Journal of Approximate Reasoning 25:3 (2000) 187-215. PDF Icon
  • [0143] O. Cordón, M.J. del Jesus, F. Herrera, P. Villar, I. Zwir. Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling. In: Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, E. Kerre, D. Ruan (Eds.), Kluwer Academic Pub., 2000, 189-221. PDF Icon
  • [0227] O. Cordón, F. Herrera, P. Villar. Aprendizaje Evolutivo de la Granularidad e las particiones Difusas y las Funciones de Pertenencia de un Sistema Basado en Reglas Difusas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 417-422, Septiembre 2000.
  • [0232] O. Cordón, F. Herrera, L. Magdalena, P. Villar. A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-Based System Data Base. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 430-437, 2000. PDF Icon


1999 (1)

  • [0241] O. Cordón, F. Herrera, P. Villar. Influence of Fuzzy Partition Granularity on Fuzzy Rule-Based System Behaviour. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 159-162, September 1999.