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On fuzzy implications derived from general overlap functions and their relation to other classes
(MDPI, 2023)
Artículo / Artikulua,
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 ...
Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks
(Elsevier, 2024)
Artículo / Artikulua,
Convolutional Neural Networks (CNNs) are a family of networks that have become state-of-the-art in several fields of artificial intelligence due to their ability to extract spatial features. In the context of natural ...
Degree of totalness: how to choose the best admissible permutation for vector fuzzy integration
(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 ...
A first study on the use of interval-valued fuzzy sets with genetic tuning for classification with imbalanced data sets
(Springer, 2009)
Contribución a congreso / Biltzarrerako ekarpena,
Classification with imbalanced data-sets is one of the recent
challenging problems in Data Mining. In this framework, the class dis-
tribution is not uniform and the separability between the classes is often
difficult. ...
On admissible orders on the set of discrete fuzzy numbers for application in decision making problems
(MDPI, 2021)
info:eu-repo/semantics/article,
The study of orders is a constantly evolving topic, not only for its interest from a theoretical point of view, but also for its possible applications. Recently, one of the hot lines of research has been the construction ...
Strong negations and restricted equivalence functions revisited: an analytical and topological approach
(Elsevier, 2021)
info:eu-repo/semantics/article,
Throughout this paper, our main idea is to analyze the concepts of a strong negation and a restricted equivalence function, that appear in a natural way when dealing with theory and applications of fuzzy sets and fuzzy ...
Improving the performance of fuzzy rule-based classification systems based on a nonaveraging generalization of CC-integrals named C-F1F2-integrals
(IEEE, 2019)
info:eu-repo/semantics/article,
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 ...
Cuantificar los hechos represivos: explicación y retos de la base de datos del fondo documental de la memoria histórica en Navarra
(2019)
Documento de trabajo / Lan gaiak,
En este documento se presentan los fundamentos historiográficos y metodológicos de
la base de datos del Fondo Documental de la Memoria Histórica en Navarra,
desarrollada en la Universidad Pública de Navarra como consecuencia ...
General overlap functions
(Elsevier, 2019)
Artículo / Artikulua,
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 ...
Learning fuzzy measures for aggregation in fuzzy rule-based models
(Springer Verlag, 2018)
info:eu-repo/semantics/conferenceObject,
Fuzzy measures are used to express background knowledge of the information sources. In fuzzy rule-based models, the rule confidence gives an important information about the final classes and their relevance. This work ...