Publicaciones en las que colabora con Enrique Herrera Viedma (40)

2018

  1. A feedback mechanism based on granular computing to improve consensus in GDM

    Studies in Fuzziness and Soft Computing (Springer Verlag), pp. 371-390

  2. Type-1 OWA Unbalanced Fuzzy Linguistic Aggregation Methodology: Application to Eurobonds Credit Risk Evaluation

    International Journal of Intelligent Systems, Vol. 33, Núm. 5, pp. 1071-1088

2016

  1. Modelling influence in group decision making

    Soft Computing, Vol. 20, Núm. 4, pp. 1653-1665

2008

  1. A consensus support system for group decision making problems with heterogeneous information

    Studies in Computational Intelligence, Vol. 97, pp. 229-257

  2. A fuzzy linguistic methodology to deal with unbalanced linguistic term sets

    IEEE Transactions on Fuzzy Systems, Vol. 16, Núm. 2, pp. 354-370

  3. An adaptive consensus support system for GDM problems with heterogeneous information

    World Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

  4. Integration of a consistency control module within a consensus model

    International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, Vol. 16, Núm. SUPPL. 1, pp. 35-53

2007

  1. Group decision making: From consistency to consensus

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

  2. Un sistema de apoyo al consenso adaptativo para problemas de toma de decisiones en grupo con información heterogénea

    Actas del II Simposio sobre Lógica Fuzzy y Soft Computing (LFSC 2007)

2006

  1. A consensus model for group decision making in heterogeneous contexts

    Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006

  2. A multi-granular linguistic hierarchical model to evaluate the quality of web site services

    Studies in Fuzziness and Soft Computing, Vol. 201, pp. 247-274

  3. Recent advancements of fuzzy sets: Theory and practice

    Information Sciences