Listar Artículos de revista - Aldizkari artikuluak por autor "Takáč, Zdenko"
Mostrando ítems 1-13 de 13
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d-Choquet integrals: Choquet integrals based on dissimilarities
Bustince Sola, Humberto
; Mesiar, Radko; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Paternain Dallo, Daniel ; Altalhi, A. H.; Pereira Dimuro, Graçaliz ; Bedregal, Benjamin ; 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 ... -
Degree of totalness: how to choose the best admissible permutation for vector fuzzy integration
Ferrero Jaurrieta, Mikel; Horanská, Lubomíra; Lafuente López, Julio ; Mesiar, Radko; Pereira Dimuro, Graçaliz ; Takáč, Zdenko; Gómez Fernández, Marisol ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Elsevier, 2023)
Artículo / Artikulua
The use of aggregation operators that require ordering of the data brings a problem when the structures to be aggregated are multi-valued, since there may be several admissible orders. To addressing this problem, the concept ... -
Discrete IV dG-Choquet integrals with respect to admissible orders
Takáč, Zdenko; Uriz Martín, Mikel Xabier ; Galar Idoate, Mikel ; Paternain Dallo, Daniel ; Bustince Sola, Humberto (Elsevier, 2021)
Artículo / Artikulua
In this work, we introduce the notion of dG-Choquet integral, which generalizes the discrete Choquet integral replacing, in the first place, the difference between inputs represented by closed subintervals of the unit ... -
Extension of restricted equivalence functions and similarity measures for type-2 fuzzy sets
Miguel Turullols, Laura de ; Santiago, Regivan; Wagner, Christian; Garibaldi, Jonathan M.; Takáč, Zdenko; Roldán López de Hierro, Antonio Francisco; Bustince Sola, Humberto (IEEE, 2021)
Artículo / Artikulua
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 ; Fernández Fernández, Francisco Javier ; Takáč, Zdenko; Mesiar, Radko; Bustince Sola, Humberto (Wiley, 2022)
Artículo / Artikulua
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 ... -
From restricted equivalence functions on Ln to similarity measures between fuzzy multisets
Ferrero Jaurrieta, Mikel; Takáč, Zdenko; Rodríguez Martínez, Iosu ; Marco Detchart, Cedric; Bernardini, Ángela; Fernández Fernández, Francisco Javier ; López Molina, Carlos ; Bustince Sola, Humberto (IEEE, 2023)
Artículo / Artikulua
Restricted equivalence functions are well-known functions to compare two numbers in the interval between 0 and 1. Despite the numerous works studying the properties of restricted equivalence functions and their multiple ... -
A generalization of the Sugeno integral to aggregate interval-valued data: an application to brain computer interface and social network analysis
Fumanal Idocin, Javier ; Takáč, Zdenko; Horanská, Lubomíra; Asmus, Tiago ; Pereira Dimuro, Graçaliz ; Vidaurre, Carmen; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Elsevier, 2022)
Artículo / Artikulua
Intervals are a popular way to represent the uncertainty related to data, in which we express the vagueness of each observation as the width of the interval. However, when using intervals for this purpose, we need to use ... -
Generalizing max pooling via (a, b)-grouping functions for convolutional neural networks
Rodríguez Martínez, Iosu ; Asmus, Tiago ; Pereira Dimuro, Graçaliz ; Herrera, Francisco; Takáč, Zdenko; Bustince Sola, Humberto (Elsevier, 2023)
Artículo / Artikulua
Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in a ... -
Interval-valued aggregation functions based on moderate deviations applied to motor-imagery-based brain computer interface
Fumanal Idocin, Javier ; Takáč, Zdenko; Fernández Fernández, Francisco Javier ; Sanz Delgado, José Antonio; Goyena Baroja, Harkaitz; Lin, Chin-Teng; Wang, Yu-Kai; Bustince Sola, Humberto (IEEE, 2021)
Artículo / Artikulua
In this work we develop moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data to construct interval-valued aggregation functions, and we apply these functions in two ... -
Moderate deviation and restricted equivalence functions for measuring similarity between data
Altalhi, A. H.; Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Takáč, Zdenko (Elsevier, 2019)
Artículo / Artikulua
In this work we study the relation between moderate deviation functions, restricted dissimilarity functions and restricted equivalence functions. We use moderate deviation functions in order to measure the similarity or ... -
A study on the suitability of different pooling operators for convolutional neural networks in the prediction of COVID-19 through chest x-ray image analysis
Rodríguez Martínez, Iosu ; Ursúa Medrano, Pablo; Fernández Fernández, Francisco Javier ; Takáč, Zdenko; Bustince Sola, Humberto (Elsevier, 2024)
Artículo / Artikulua
The 2019 coronavirus disease outbreak, caused by the severe acute respiratory syndrome type-2 virus (SARS-CoV-2), was declared a pandemic in March 2020. Since its emergence to the present day, this disease has brought ... -
Type-(2, k) overlap indices
Roldán López de Hierro, Antonio Francisco; Roldán, Concepción; Tíscar, Miguel Ángel; Takáč, Zdenko; Santiago, Regivan; Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier ; Pereira Dimuro, Graçaliz (IEEE, 2022)
Artículo / Artikulua
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 ... -
VCI-LSTM: Vector choquet integral-based long short-term memory
Ferrero Jaurrieta, Mikel; Takáč, Zdenko; Fernández Fernández, Francisco Javier ; Horanská, Lubomíra; Pereira Dimuro, Graçaliz ; Montes, Susana; Díaz, Irene; Bustince Sola, Humberto (IEEE, 2022)
Artículo / Artikulua
Choquet integral is a widely used aggregation operator on one-dimensional and interval-valued information, since it is able to take into account the possible interaction among data. However, there are many cases where the ...
