Listar Artículos de revista DEIM - EIMS Aldizkari artikuluak por autor UPNA "Sanz Delgado, José Antonio"
Mostrando ítems 1-11 de 11
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CFM-BD: a distributed rule induction algorithm for building compact fuzzy models in Big Data classification problems
Elkano Ilintxeta, Mikel
; Sanz Delgado, José Antonio ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Galar Idoate, Mikel (IEEE, 2020)
Artículo / Artikulua 
Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions and decisions. However, when it comes to ... -
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 ... -
An evolutionary underbagging approach to tackle the survival prediction of trauma patients: a case study at the Hospital of Navarre
Sanz Delgado, José Antonio ; Galar Idoate, Mikel ; Bustince Sola, Humberto ; Belzunegui Otano, Tomás (IEEE, 2019)
Artículo / Artikulua
Survival prediction systems are used among emergency services at hospitals in order to measure their quality objectively. In order to do so, the estimated mortality rate given by a prediction model is compared with the ... -
A fuzzy association rule-based classifier for imbalanced classification problems
Sanz Delgado, José Antonio ; Sesma Sara, Mikel ; Bustince Sola, Humberto (Elsevier, 2021)
Artículo / Artikulua
Imbalanced classification problems are attracting the attention of the research community because they are prevalent in real-world problems and they impose extra difficulties for learning methods. Fuzzy rule-based ... -
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 ... -
Motor-imagery-based brain-computer interface using signal derivation and aggregation functions
Fumanal Idocin, Javier ; Wang, Yu-Kai; Lin, Chin-Teng; Fernández Fernández, Francisco Javier ; Sanz Delgado, José Antonio ; Bustince Sola, Humberto (IEEE, 2021)
Artículo / Artikulua
Brain Computer Interface (BCI) technologies are popular methods of communication between the human brain and external devices. One of the most popular approaches to BCI is Motor Imagery (MI). In BCI applications, the ... -
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 ... -
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 ... -
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 ...
