Now showing items 1-4 of 4

    • FUZZ-EQ: a data equalizer for boosting the discrimination power of fuzzy classifiers 

      Uriz Martín, Mikel Xabier Upna; Elkano Ilintxeta, Mikel Upna; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (Elsevier, 2020)   Artículo / Artikulua
      The definition of linguistic terms is a critical part of the construction of any fuzzy classifier. Fuzzy partitioning methods (FPMs) range from simple uniform partitioning to sophisticated optimization algorithms. In this ...
    • On the influence of admissible orders in IVOVO 

      Uriz Martín, Mikel Xabier Upna; Paternain Dallo, Daniel Upna; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (Springer, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for ...
    • A study of different families of fusion functions for combining classifiers in the one-vs-one strategy 

      Uriz Martín, Mikel Xabier Upna; Paternain Dallo, Daniel Upna; Jurío Munárriz, Aránzazu Upna; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (Springer, 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In this work we study the usage of different families of fusion functions for combining classifiers in a multiple classifier system of One-vs-One (OVO) classifiers. OVO is a decomposition strategy used to deal with multi-class ...
    • Unsupervised fuzzy measure learning for classifier ensembles from coalitions performance 

      Uriz Martín, Mikel Xabier Upna; Paternain Dallo, Daniel Upna; Domínguez Catena, Iris; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (IEEE, 2020)   Artículo / Artikulua  OpenAccess
      In Machine Learning an ensemble refers to the combination of several classifiers with the objective of improving the performance of every one of its counterparts. To design an ensemble two main aspects must be considered: ...