Now showing items 1-10 of 10

    • d-Choquet integrals: Choquet integrals based on dissimilarities 

      Bustince Sola, Humberto Upna; Mesiar, Radko; Fernández Fernández, Francisco Javier Upna; Galar Idoate, Mikel Upna; Paternain Dallo, Daniel Upna; Altalhi, A. H.; Pereira Dimuro, Graçaliz Upna; Bedregal, Benjamin Upna; Takáč, Zdenko (Elsevier, 2020)   Artículo / Artikulua
      The paper introduces a new class of functions from [0,1]n to [0,n] called d-Choquet integrals. These functions are a generalization of the 'standard' Choquet integral obtained by replacing the difference in the definition ...
    • Funções de agregação baseadas em integral de Choquet aplicadas em redimensionalização de imagens 

      Bueno, Jéssica C. S.; Dias, Camila A.; Pereira Dimuro, Graçaliz Upna; Borges, Eduardo N.; Botelho, Silvia S. C.; Mattos, Viviane L. D. de; Bustince Sola, Humberto Upna (Universidade Passo Fundo, 2019)   Artículo / Artikulua  OpenAccess
      The increasing data volume, coupled with the high complexity of these data, has generated the need to develop increasingly efficient knowledge extraction techniques, both in computational cost and precision. Most of the ...
    • Improving the performance of fuzzy rule-based classification systems based on a nonaveraging generalization of CC-integrals named C-F1F2-integrals 

      Lucca, Giancarlo; Pereira Dimuro, Graçaliz Upna; Fernández Fernández, Francisco Javier Upna; Bustince Sola, Humberto Upna; Bedregal, Benjamin Upna; Sanz Delgado, José Antonio Upna (IEEE, 2019)   Artículo / Artikulua  OpenAccess
      A key component of fuzzy rule-based classification systems (FRBCS) is the fuzzy reasoning method (FRM) since it infers the class predicted for new examples. A crucial stage in any FRM is the way in which the information ...
    • The interval-valued Choquet integral based on admissible permutations 

      Paternain Dallo, Daniel Upna; Miguel Turullols, Laura de Upna; Ochoa Lezaun, Gustavo Upna; Lizasoain Iriso, María Inmaculada Upna; Mesiar, Radko; Bustince Sola, Humberto Upna (IEEE, 2018)   Artículo / Artikulua  OpenAccess
      Aggregation or fusion of interval data is not a trivial task, since the necessity of arranging data arises in many aggregation functions, such as OWA operators or the Choquet integral. Some arranging procedures have been ...
    • Learning fuzzy measures for aggregation in fuzzy rule-based models 

      Saleh, Emran; Valls Aida; Moreno, Antonio Upna; Romero-Aroca, Pedro; Torra, Vicenç; Bustince Sola, Humberto Upna (Springer Verlag, 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Fuzzy measures are used to express background knowledge of the information sources. In fuzzy rule-based models, the rule confidence gives an important information about the final classes and their relevance. This work ...
    • Multivalued contexts associated with criteria 

      Alcalde, Cristina; Burusco Juandeaburre, Ana Upna (Taylor & Francis, 2018)   Artículo / Artikulua  OpenAccess
      We are interested in the study of L-fuzzy contexts taking into account different criteria. These contexts arise when we want to analyze the relationship between objects and attributes from different points of view. ...
    • Pre-aggregation functions: construction and an application 

      Lucca, Giancarlo; Sanz Delgado, José Antonio Upna; Pereira Dimuro, Graçaliz Upna; Bedregal, Benjamin Upna; Mesiar, Radko; Kolesárová, Anna; Bustince Sola, Humberto Upna (IEEE, 2015)   Artículo / Artikulua  OpenAccess
      In this work we introduce the notion of preaggregation function. Such a function satisfies the same boundary conditions as an aggregation function, but, instead of requiring monotonicity, only monotonicity along some ...
    • Reduction of the size of L-fuzzy contexts. A tool for differential diagnoses of diseases 

      Alcalde, Cristina; Burusco Juandeaburre, Ana Upna (Taylor & Francis, 2019)   Artículo / Artikulua  OpenAccess
      Information extraction from an L-fuzzy context becomes a hard problem when we work with a large set of objects and/or attributes. The goal of this paper is to present two different and complementary techniques to reduce ...
    • 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: ...
    • Using the Choquet integral in the fuzzy reasoning method of fuzzy rule-based classification systems 

      Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Fernández Fernández, Francisco Javier Upna; Paternain Dallo, Daniel Upna; Sanz Delgado, José Antonio Upna (MDPI, 2013)   Artículo / Artikulua  OpenAccess
      In this paper we present a new fuzzy reasoning method in which the Choquet integral is used as aggregation function. In this manner, we can take into account the interaction among the rules of the system. For this reason, ...