Publicaciones en las que colabora con José Antonio Sanz Delgado (16)

2016

  1. Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC)

    International Journal of Approximate Reasoning, Vol. 73, pp. 108-122

2015

  1. A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data

    IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 4, pp. 973-990

  2. Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between n-Dimensional Overlap Functions and Decomposition Strategies

    IEEE Transactions on Fuzzy Systems, Vol. 23, Núm. 5, pp. 1562-1580

  3. Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection

    Proceedings of the 2015 conference of the international fuzzy systems association and the european society for fuzzy logic and technology

  4. On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm

    IEEE International Conference on Fuzzy Systems

2014

  1. A preliminary study on fingerprint classification using fuzzy rule-based classification systems

    IEEE International Conference on Fuzzy Systems

  2. Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System

    Communications in Computer and Information Science

2013

  1. IVTURS: A linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection

    IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 3, pp. 399-411

2012

  1. IIVFDT: Ignorance functions based interval-valued fuzzy decision tree with genetic tuning

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 20, Núm. SUPPL. 2, pp. 1-30

2011

  1. A case study on medical diagnosis of cardiovascular diseases using a genetic algorithm for tuning fuzzy rule-based classification systems with interval-valued fuzzy sets

    IEEE SSCI 2011: Symposium Series on Computational Intelligence - T2FUZZ 2011: 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems

  2. A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: Degree of ignorance and lateral position

    International Journal of Approximate Reasoning, Vol. 52, Núm. 6, pp. 751-766

  3. On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees

    IEEE International Conference on Fuzzy Systems

2010

  1. A genetic algorithm for tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets

    2010 IEEE World Congress on Computational Intelligence, WCCI 2010

  2. Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning

    Information Sciences, Vol. 180, Núm. 19, pp. 3674-3685

  3. Un algoritmo genético para el ajuste de Sistemas de Clasificación Basados en Reglas Difusas con Conjuntos Intervalo-Valorados Difusos

    XV Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2010: Huelva [Recurso electrónico]

2009

  1. A first study on the use of interval-valued fuzzy sets with genetic tuning for classification with imbalanced data-sets

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)