Listar Artículos de revista DEIM - EIMS Aldizkari artikuluak por autor UPNA "Pereira Dimuro, Graçaliz"
Mostrando ítems 1-20 de 22
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Abstract homogeneous functions and consistently influenced/disturbed multi-expert decision making
Santiago, Regivan; Bedregal, Benjamin
; Pereira Dimuro, Graçaliz ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto ; Fardoun, Habib (IEEE, 2021)
Artículo / Artikulua 
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 ... -
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 ... -
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 ; Lucca, Giancarlo; Borges, Eduardo N.; Asmus, Tiago ; Emmendorfer, Leonardo R.; Bustince Sola, Humberto ; Pereira Dimuro, Graçaliz (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 ... -
dCF-integrals: generalizing CF-integrals by means of restricted dissimilarity functions
Wieczynski, Jonata; Lucca, Giancarlo; Pereira Dimuro, Graçaliz ; Borges, Eduardo N.; Sanz Delgado, José Antonio ; Asmus, Tiago ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (IEEE, 2022)
Artículo / Artikulua
The Choquet integral (CI) is an averaging aggregation function that has been used, e.g., in the fuzzy reasoning method (FRM) of fuzzy rule-based classification systems (FRBCSs) and in multicriteria decision making in order ... -
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 ... -
Funções de agregação baseadas em integral de Choquet aplicadas em redimensionalização de imagens
Bueno, Jéssica C. S.; Dias, Camila A.; Pereira Dimuro, Graçaliz ; Borges, Eduardo N.; Botelho, Silvia S. C.; Mattos, Viviane L. D. de; Bustince Sola, Humberto (Universidade Passo Fundo, 2019)
Artículo / Artikulua
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 ... -
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 ... -
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 ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto ; Bedregal, Benjamin ; Sanz Delgado, José Antonio (IEEE, 2019)
Artículo / Artikulua
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 ; Bedregal, Benjamin ; Fernández Fernández, Francisco Javier ; Sesma Sara, Mikel ; Pintor Borobia, Jesús María ; Bustince Sola, Humberto (Elsevier, 2019)
Artículo / Artikulua
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 ; Chang, Yu-Cheng; Chang, Yang; Fernández Fernández, Francisco Javier ; Wang, Yu-Kai; Sanz Delgado, José Antonio ; Pereira Dimuro, Graçaliz ; Lin, Chin-Teng (IEEE, 2019)
Artículo / Artikulua
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 ; Sanz Delgado, José Antonio ; Pereira Dimuro, Graçaliz ; Bedregal, Benjamin ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (IEEE, 2021)
Artículo / Artikulua
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 ; Lucca, Giancarlo; López Molina, Carlos ; Miguel Turullols, Laura de ; Pereira Dimuro, Graçaliz ; Bustince Sola, Humberto (Elsevier, 2021)
Artículo / Artikulua
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 ... -
On some classes of directionally monotone functions
Bustince Sola, Humberto ; Mesiar, Radko; Kolesárová, Anna; Pereira Dimuro, Graçaliz ; Fernández Fernández, Francisco Javier ; Díaz, Irene; Montes Rodríguez, Susana (Elsevier, 2020)
Artículo / Artikulua
In this work we consider some classes of functions with relaxed monotonicity conditions generalizing some other given classes of fusion functions. In particular, directionally increasing aggregation functions (called also ... -
On the normalization of interval data
Santiago, Regivan; Bergamaschi, Flaulles; Bustince Sola, Humberto ; Pereira Dimuro, Graçaliz ; Asmus, Tiago ; Sanz Delgado, José Antonio (MDPI, 2020)
Artículo / Artikulua
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 ... -
A proposal for tuning the α parameter in CαC-integrals for application in fuzzy rule-based classification systems
Lucca, Giancarlo; Sanz Delgado, José Antonio ; Pereira Dimuro, Graçaliz ; Bedregal, Benjamin ; Bustince Sola, Humberto (Springer, 2020)
Artículo / Artikulua
In this paper, we consider the concept of extended Choquet integral generalized by a copula, called CC-integral. In particular, we adopt a CC-integral that uses a copula defined by a parameter α, which behavior was tested ... -
Quantifying external information in social network analysis: an application to comparative mythology
Fumanal Idocin, Javier ; Cordón García, Óscar; Pereira Dimuro, Graçaliz ; Roldán López de Hierro, Antonio Francisco; Bustince Sola, Humberto (IEEE, 2023)
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Social network analysis is a popular tool to understand the relationships between interacting agents by studying the structural properties of their connections. However, this kind of analysis can miss some of the domain-specific ... -
Replacing pooling functions in convolutional neural networks by linear combinations of increasing functions
Rodríguez Martínez, Iosu ; Lafuente López, Julio ; Santiago, Regivan; Pereira Dimuro, Graçaliz ; Herrera, Francisco; Bustince Sola, Humberto (Elsevier, 2022)
Artículo / Artikulua
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 ... -
Systematic review of aggregation functions applied to image edge detection
Amorim, Miqueias; Pereira Dimuro, Graçaliz ; Borges, Eduardo N.; Dalmazo, Bruno L.; Marco Detchart, Cedric ; Lucca, Giancarlo; Bustince Sola, Humberto (MDPI, 2023)
Artículo / Artikulua
Edge detection is a crucial process in numerous stages of computer vision. This field of study has recently gained momentum due to its importance in various applications. The uncertainty, among other characteristics of ... -
T-overlap t-migrative functions: a generalization of migrativity in t-overlap functions
Zapata, Hugo; Bustince Sola, Humberto ; Pereira Dimuro, Graçaliz (Universidad Distrital Francisco José de Caldas (Colombia), 2020)
Artículo / Artikulua
Este artículo introduce una generalización de funciones migrativas por extensión de la condición de la operación producto aplicada en las variables. Más específicamente, en lugar de exigir multiplicar la variable x por un ... -
Towards interval uncertainty propagation control in bivariate aggregation processes and the introduction of width-limited interval-valued overlap functions
Asmus, Tiago ; Pereira Dimuro, Graçaliz ; Bedregal, Benjamin ; Sanz Delgado, José Antonio ; Mesiar, Radko; Bustince Sola, Humberto (Elsevier, 2021)
Artículo / Artikulua
Overlap functions are a class of aggregation functions that measure the overlapping degree between two values. They have been successfully applied as a fuzzy conjunction operation in several problems in which associativity ...
