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Papers published in Journals (P. Villar)

Number of Results: 13

Jump to Year: 2018, 2015, 2012, 2011, 2009, 2007, 2003, 2001, 2000

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2018 (1)


2015 (1)


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 (1)

  • [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


2009 (1)


2007 (2)

  • [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


2003 (1)


2001 (2)

  • [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


2000 (1)

  • [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