H
Humberto Bustince
Researcher at Universidad Pública de Navarra
Publications - 511
Citations - 18930
Humberto Bustince is an academic researcher from Universidad Pública de Navarra. The author has contributed to research in topics: Fuzzy set & Fuzzy logic. The author has an hindex of 63, co-authored 469 publications receiving 15234 citations. Previous affiliations of Humberto Bustince include University of Navarra & University of Technology, Sydney.
Papers
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Journal ArticleDOI
Some preference involved aggregation models for basic uncertain information using uncertainty transformation
TL;DR: In this article, the authors proposed a method to support scientific research start-up foundation with grant 184080H202B165, partly supported from the Science and Technology Assistance Agency under contract No. APVV-17-0066; partly supported by the project of Grant Agency of the Czech Republic (GACˇ R) no. 18-06915S; and partially supported from Natural Science Foundation of Jiangsu Province (Grants No BK20150870 and No. BK20190695).
Journal ArticleDOI
A fusion method for multi-valued data
Martin Papčo,Martin Papčo,Iosu Rodríguez-Martínez,Javier Fumanal-Idocin,Abdulrahman H. Altalhi,Humberto Bustince,Humberto Bustince +6 more
TL;DR: The research done by Humberto Bustince, Iosu Rodriguez Martinez and Javier Fumanal Idocin has been funded by the project PID2019-108392GB-I00: 3031138640 as mentioned in this paper.
Book ChapterDOI
Analyzing the Behavior of Aggregation and Pre-aggregation Functions in Fuzzy Rule-Based Classification Systems with Data Complexity Measures
Giancarlo Lucca,José Antonio Sanz,Graçaliz Pereira Dimuro,Graçaliz Pereira Dimuro,Benjamin Bedregal,Humberto Bustince +5 more
TL;DR: Whether there are characteristics of the datasets that allow one to know whether an aggregation function will work better then others or not is studied to enhance the behavior of a classical averaging aggregation operator like the maximum, used in the fuzzy reasoning method of the winning rule.
Journal ArticleDOI
Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions
I. Rodríguez-Martínez,Julio Lafuente,Regivan H. N. Santiago,Graçaliz Pereira Dimuro,Francisco Herrera,Humberto Bustince +5 more
TL;DR: CombPool as mentioned in this paper is an alternative pooling layer based on linear combinations of order statistics and generalizations of the Sugeno integral, extending the latter's domain to the whole real line and setting the theoretical base for their application.
Journal ArticleDOI
Upper bounding overlaps by groupings
TL;DR: Conditions to ensure that an overlap is smaller than a certain grouping and methods to define operators satisfying such ordering are determined.