Publicaciones en las que colabora con Luis Magdalena Layos (16)

2016

  1. Special Issue on selected papers from the IFSA-EUSFLAT2015 conference

    International Journal of Approximate Reasoning

2015

  1. Part b fuzzy logic

    Springer Handbook of Computational Intelligence (Springer Berlin Heidelberg), pp. 157

2014

  1. FAR-Fingrams. A visual tool for interpretability analysis of fuzzy association rules

    Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, Vol. 21, Núm. 1, pp. 20-22

2013

  1. Fingrams: Visual representations of fuzzy rule-based inference for expert analysis of comprehensibility

    IEEE Transactions on Fuzzy Systems, Vol. 21, Núm. 6, pp. 1133-1149

  2. Social network analysis of co-fired fuzzy rules

    Studies in Fuzziness and Soft Computing, Vol. 291, pp. 113-128

2010

  1. Embedding HILK in a three-objective evolutionary algorithm with the aim of modeling highly interpretable fuzzy rule-based classifiers

    2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2010

  2. Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems. Mieres, Spain, March 2010: Preface

    2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2010

  3. Studies in Fuzziness and Soft Computing: Preface

    Studies in Fuzziness and Soft Computing

2009

  1. A review on the application of hybrid artificial intelligence systems to optimization problems in operations management

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

2007

  1. Highly interpretable linguistic knowledge bases optimization: Genetic tuning versus solis-wetts. Looking for a good interpretability-accuracy trade-off

    IEEE International Conference on Fuzzy Systems

2004

  1. Genetic fuzzy systems. New developments

    Fuzzy Sets and Systems

  2. Ten years of genetic fuzzy systems: Current framework and new trends

    Fuzzy Sets and Systems

2003

  1. A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems

    Intelligent Systems for Information Processing: From Representation to Applications (Elsevier B.V.), pp. 315-326

2001

  1. A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base

    Information Sciences, Vol. 136, Núm. 1-4, pp. 85-107

  2. Recent advances in genetic fuzzy systems

    Information Sciences

  3. Ten years of genetic fuzzy systems: Current framework and new trends

    Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS