Now showing items 1-9 of 9

    • 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 of individual rankings through fusion functions: criticism and optimality analysis 

      Bustince Sola, Humberto Upna Orcid; Bedregal, Benjamin Upna Orcid; Campión Arrastia, María Jesús Upna Orcid; Silva, Ivanoska da; Fernández Fernández, Francisco Javier Upna Orcid; Induráin Eraso, Esteban Upna Orcid; Raventós Pujol, Armajac Upna Orcid; Santiago, Regivan (IEEE, 2020)   Artículo / Artikulua  OpenAccess
      Throughout this paper, our main idea is to analyze from a theoretical and normative point of view different methods to aggregate individual rankings. To do so, first we introduce the concept of a general mean on an abstract ...
    • Extension of restricted equivalence functions and similarity measures for type-2 fuzzy sets 

      Miguel Turullols, Laura de Upna Orcid; Santiago, Regivan; Wagner, Christian; Garibaldi, Jonathan M.; Takáč, Zdenko; Roldán López de Hierro, Antonio Francisco; Bustince Sola, Humberto Upna Orcid (IEEE, 2021)   Artículo / Artikulua  OpenAccess
      In this work we generalize the notion of restricted equivalence function for type-2 fuzzy sets, leading to the notion of extended restricted equivalence functions. We also study how under suitable conditions, these new ...
    • F-homogeneous functions and a generalization of directional monotonicity 

      Santiago, Regivan; Sesma Sara, Mikel Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Takáč, Zdenko; Mesiar, Radko; Bustince Sola, Humberto Upna Orcid (Wiley, 2022)   Artículo / Artikulua  OpenAccess
      A function that takes (Formula presented.) numbers as input and outputs one number is said to be homogeneous whenever the result of multiplying each input by a certain factor (Formula presented.) yields the original output ...
    • 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 (, 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 ...
    • On fuzzy implications derived from general overlap functions and their relation to other classes 

      Pinheiro, Jocivania; Santos, Helida; Pereira Dimuro, Graçaliz; Bedregal, Benjamin Upna Orcid; Santiago, Regivan; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (MDPI, 2023)   Artículo / Artikulua  OpenAccess
      There are distinct techniques to generate fuzzy implication functions. Despite most of them using the combination of associative aggregators and fuzzy negations, other connectives such as (general) overlap/grouping ...
    • On the normalization of interval data 

      Santiago, Regivan; Bergamaschi, Flaulles; Bustince Sola, Humberto Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Asmus, Tiago Upna Orcid; Sanz Delgado, José Antonio Upna Orcid (MDPI, 2020)   Artículo / Artikulua  OpenAccess
      The impreciseness of numeric input data can be expressed by intervals. On the other hand, the normalization of numeric data is a usual process in many applications. How do we match the normalization with impreciseness on ...
    • Replacing pooling functions in convolutional neural networks by linear combinations of increasing functions 

      Rodríguez Martínez, Iosu Upna Orcid; Lafuente López, Julio Upna Orcid; Santiago, Regivan; Pereira Dimuro, Graçaliz Upna Orcid; Herrera, Francisco; Bustince Sola, Humberto Upna Orcid (Elsevier, 2022)   Artículo / Artikulua  OpenAccess
      Traditionally, Convolutional Neural Networks make use of the maximum or arithmetic mean in order to reduce the features extracted by convolutional layers in a downsampling process known as pooling. However, there is no ...
    • Type-(2, k) overlap indices 

      Roldán López de Hierro, Antonio Francisco; Roldán, Concepción; Tíscar, Miguel Ángel; Takáč, Zdenko; Santiago, Regivan; Bustince Sola, Humberto Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid (IEEE, 2022)   Artículo / Artikulua  OpenAccess
      Automatic image detection is one of the most im- portant areas in computing due to its potential application in numerous real-world scenarios. One important tool to deal with that is called overlap indices. They were ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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