Browsing by Author "Emmendorfer, Leonardo R."
Now showing items 1-4 of 4
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Applying d-XChoquet integrals in classification problems
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Emmendorfer, Leonardo R.; Ferrero Jaurrieta, Mikel; Pereira Dimuro, Graçaliz; Bustince Sola, Humberto
(IEEE, 2022)
Contribución a congreso / Biltzarrerako ekarpena 
Several generalizations of the Choquet integral have been applied in the Fuzzy Reasoning Method (FRM) of Fuzzy Rule-Based Classification Systems (FRBCS's) to improve its performance. Additionally, to achieve that goal, ... -
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 ... -
Explainable classification methods for fish species detection using hydroacoustic data
Costa, Lucas Tubino Bonifacio; Lucca, Giancarlo; Pereira Dimuro, Graçaliz ; Borges, Eduardo N.; Emmendorfer, Leonardo R.; Weigert, Stefan Cruz (IEEE, 2021)
Contribución a congreso / Biltzarrerako ekarpena
This work aims to evaluate explainable classification methods for the detection of fish species from hydroacoustic data acquired by echo sounders at a region near the coastline of south and southeastern Brazil. Decision ... -
On the generalizations of the Choquet integral for application in FRBCs
Lucca, Giancarlo; Borges, Eduardo N.; Berri, Rafael A.; Emmendorfer, Leonardo R.; Pereira Dimuro, Graçaliz ; Asmus, Tiago (Springer, 2021)
Contribución a congreso / Biltzarrerako ekarpena
An effective way to cope with classification problems, among others, is by using Fuzzy Rule-Based Classification Systems (FRBCSs). These systems are composed by two main components, the Knowledge Base (KB) and the Fuzzy ...
