Now showing items 1-20 of 31

    • Abstract homogeneous functions and consistently influenced/disturbed multi-expert decision making 

      Santiago, Regivan; Bedregal, Benjamin Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid; Fardoun, Habib (IEEE, 2021)   Artículo / Artikulua  OpenAccess
      In this paper we propose a new generalization for the notion of homogeneous functions. We show some properties and how it appears in some scenarios. Finally we show how this generalization can be used in order to provide ...
    • Aggregation functions based on the Choquet integral applied to image resizing 

      Bueno, Jéssica C. S.; Dias, Camila A.; Pereira Dimuro, Graçaliz Upna Orcid; Santos, Helida; Bustince Sola, Humberto Upna Orcid (Atlantis Press, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The rising volume of data and its high complexity has brought the need of developing increasingly efficient knowledge extraction techniques, which demands efficiency both in computational cost and in accuracy. Most of ...
    • CC-separation measure applied in business group decision making 

      Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz Upna Orcid; Lourenzutti, Rodolfo; Bustince Sola, Humberto Upna Orcid (SciTePress, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In business, one of the most important management functions is decision making The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous ...
    • d-Choquet integrals: Choquet integrals based on dissimilarities 

      Bustince Sola, Humberto Upna Orcid; Mesiar, Radko; Fernández Fernández, Francisco Javier Upna Orcid; Galar Idoate, Mikel Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Altalhi, A. H.; Pereira Dimuro, Graçaliz Upna Orcid; Bedregal, Benjamin Upna Orcid; Takáč, Zdenko (Elsevier, 2020)   Artículo / Artikulua  OpenAccess
      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 ...
    • d-XC integrals: on the generalization of the expanded form of the Choquet integral by restricted dissimilarity functions and their applications 

      Wieczynski, Jonata; Fumanal Idocin, Javier Upna Orcid; Lucca, Giancarlo; Borges, Eduardo N.; Asmus, Tiago Upna Orcid; Emmendorfer, Leonardo R.; Bustince Sola, Humberto Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid (IEEE, 2022)   Artículo / Artikulua
      Restricted dissimilarity functions (RDFs) were introduced to overcome problems resulting from the adoption of the standard difference. Based on those RDFs, Bustince et al. introduced a generalization of the Choquet integral ...
    • Enhancing LSTM for sequential image classification by modifying data aggregation 

      Takáč, Zdenko; Ferrero Jaurrieta, Mikel; Horanská, Lubomíra; Krivonakova, Nada; Pereira Dimuro, Graçaliz Upna Orcid; Bustince Sola, Humberto Upna Orcid (IEEE, 2021)   Contribución a congreso / Biltzarrerako ekarpena
      Recurrent Neural Networks (RNN) model sequential information and are commonly used for the analysis of time series. The most usual operation to fuse information in RNNs is the sum. In this work, we use a RNN extended type, ...
    • The evolution of the notion of overlap functions 

      Bustince Sola, Humberto Upna Orcid; Mesiar, Radko; Dimuro, Graçaliz Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bedregal, Benjamin Upna Orcid (Springer, 2021)   Capítulo de libro / Liburuen kapitulua  OpenAccess
      In this chapter we make a review of the notion of overlap function. Although originally developed in order to determine up to what extent a given element belongs to two sets, overlap functions have widely developed in the ...
    • Explainable classification methods for fish species detection using hydroacoustic data 

      Costa, Lucas Tubino Bonifacio; Lucca, Giancarlo; Pereira Dimuro, Graçaliz Upna Orcid; Borges, Eduardo N.; Emmendorfer, Leonardo R.; Weigert, Stefan Cruz (IEEE, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This work aims to evaluate explainable classification methods for the detection of fish species from hydroacoustic data acquired by echo sounders at a region near the coastline of south and southeastern Brazil. Decision ...
    • Exploring the relationships between data complexity and classification diversity in ensembles 

      Formentín Garcia, Nathan; Tiggeman, Frederico; Borges, Eduardo N.; Lucca, Giancarlo; Santos, Helida; Pereira Dimuro, Graçaliz Upna Orcid (SciTePress, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Several classification techniques have been proposed in the last years. Each approach is best suited for a particular classification problem, i.e., a classification algorithm may not effectively or efficiently recognize ...
    • Extensión multidimensional de la integral de Choquet discreta y su aplicación en redes neuronales recurrentes 

      Ferrero Jaurrieta, Mikel; Rodríguez Martínez, Iosu Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (Universidad de Málaga, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      En este trabajo presentamos una definición de la integral de Choquet discreta n-dimensional, para fusionar datos vectoriales. Como aplicación, utilizamos estas nuevas integrales de Choquet discretas multidimensionales en ...
    • Funções de agregação baseadas em integral de Choquet aplicadas em redimensionalização de imagens 

      Bueno, Jéssica C. S.; Dias, Camila A.; Pereira Dimuro, Graçaliz Upna Orcid; Borges, Eduardo N.; Botelho, Silvia S. C.; Mattos, Viviane L. D. de; Bustince Sola, Humberto Upna Orcid (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 ...
    • Fuzzy sets complement-based gated recurrent unit 

      Ferrero Jaurrieta, Mikel; Pereira Dimuro, Graçaliz Upna Orcid; Takáč, Zdenko; Santiago, Regivan; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (CEUR Workshop Proceedings (CEUR-WS.org), 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Gated Recurrent Units (GRU) are neural network gated architectures that simplify other ones (suchas, LSTM) by joining gates mainly. For this, instead of using two gates, if𝑥is the first gate, standardoperation1−𝑥is used ...
    • General admissibly ordered interval-valued overlap functions 

      Asmus, Tiago Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; Wieczynski, Jonata; Lucca, Giancarlo; Bustince Sola, Humberto Upna Orcid (CEUR Workshop Proceedings (CEUR-WS.org), 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Overlap functions are a class of aggregation functions that measure the verlapping degree between two values. They have been successfully applied in several problems in which associativity is not required, such as ...
    • General grouping functions 

      Santos, Helida; Pereira Dimuro, Graçaliz Upna Orcid; Asmus, Tiago Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a ...
    • General overlap functions 

      Miguel Turullols, Laura de Upna Orcid; Gómez, Daniel; Tinguaro, Javier; Montero, Javier; Bustince Sola, Humberto Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Sanz, Jose Antonio (Elsevier, 2019)   Artículo / Artikulua  OpenAccess
      As a generalization of bivariate overlap functions, which measure the degree of overlapping (intersection for non-crisp sets) of n different classes, in this paper we introduce the concept of general overlap functions. We ...
    • 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 Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid; Bedregal, Benjamin Upna Orcid; Sanz Delgado, José Antonio Upna Orcid (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 law of O-conditionality for fuzzy implications constructed from overlap and grouping functions 

      Pereira Dimuro, Graçaliz Upna Orcid; Bedregal, Benjamin Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Sesma Sara, Mikel Upna Orcid; Pintor Borobia, Jesús María Upna Orcid; Bustince Sola, Humberto Upna Orcid (Elsevier, 2019)   Artículo / Artikulua  OpenAccess
      Overlap and grouping functions are special kinds of non necessarily associative aggregation operators proposed for many applications, mainly when the associativity property is not strongly required. The classes of overlap ...
    • Multimodal fuzzy fusion for enhancing the motor-imagery-based brain computer interface 

      Ko, Li-Wei; Lu, Yi-Chen; Bustince Sola, Humberto Upna Orcid; Chang, Yu-Cheng; Chang, Yang; Fernández Fernández, Francisco Javier Upna Orcid; Wang, Yu-Kai; Sanz Delgado, José Antonio Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Lin, Chin-Teng (IEEE, 2019)   Artículo / Artikulua  OpenAccess
      Brain–computer interface technologies, such as steady-state visually evoked potential, P300, and motor imagery are methods of communication between the human brain and the external devices. Motor imagery–based brain–computer ...
    • N-dimensional admissibly ordered interval-valued overlap functions and its influence in interval-valued fuzzy rule-based classification systems 

      Asmus, Tiago Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Bedregal, Benjamin Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (IEEE, 2021)   Artículo / Artikulua  OpenAccess
      Overlap functions are a type of aggregation functions that are not required to be associative, generally used to indicate the overlapping degree between two values. They have been successfully used as a conjunction operator ...
    • Neuro-inspired edge feature fusion using Choquet integrals 

      Marco Detchart, Cedric Upna Orcid; Lucca, Giancarlo; López Molina, Carlos Upna Orcid; Miguel Turullols, Laura de Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Bustince Sola, Humberto Upna Orcid (Elsevier, 2021)   Artículo / Artikulua  OpenAccess
      It is known that the human visual system performs a hierarchical information process in which early vision cues (or primitives) are fused in the visual cortex to compose complex shapes and descriptors. While different ...