Browsing by Author "Borges, Eduardo N."
Now showing items 1-8 of 8
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Application of the Sugeno integral in fuzzy rule-based classification
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz
(Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Fuzzy Rule-Based Classification System (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations to enhance the quality ... -
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, ... -
CC-separation measure applied in business group decision making
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz ; Lourenzutti, Rodolfo; Bustince Sola, Humberto (SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena
In business, one of the most important management functions is decision making The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous ... -
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 ... -
Exploring the relationships between data complexity and classification diversity in ensembles
Formentín Garcia, Nathan; Tiggeman, Frederico; Borges, Eduardo N.; Lucca, Giancarlo; Santos, Helida; Pereira Dimuro, Graçaliz (SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Several classification techniques have been proposed in the last years. Each approach is best suited for a particular classification problem, i.e., a classification algorithm may not effectively or efficiently recognize ... -
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 ... -
Using academic genealogy for recommending supervisors
Madeira, Gabriel; Borges, Eduardo N.; Lucca, Giancarlo; Carvalho-Segundo, Washington; Wieczynski, Jonata; Santos, Helida; Pereira Dimuro, Graçaliz (SciTePress, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Selecting an academic supervisor is a complicated task. Masters and Ph.D. candidates usually select the most prestigious universities in a given region, investigate the graduate programs in a research area of interest, and ...
