Listar por autor "Lucca, Giancarlo"
Mostrando ítems 1-20 de 21
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Aggregation and pre-aggregation functions in fuzzy rule-based classification systems
(2018) Tesis doctoral / Doktoretza tesia
Una manera eficiente de tratar problemas de clasificación, entre otras, es el uso de Sistemas de Clasificación Basados en Reglas Difusas (SCBRDs). Estos sistemas están compuestos por dos componentes principales, la Base ... -
Analyzing the determinant characteristics for a good performance at enade brazilian exam stratified by teaching modality: face-to-face versus online
(SciTePress, 2022) Contribución a congreso / Biltzarrerako ekarpena
The National Student Performance Exam (ENADE) annually evaluates different Brazilian higher education courses. This exam considers both face-to-face and distance learning courses. Distance learning is growing increasingly, ... -
Application and comparison of CC-integrals in business group decision making
Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz
; Lourenzutti, Rodolfo; Bustince Sola, Humberto (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Optimized decisions is required by businesses (analysts) if they want to stay open. Even thought some of these are from the knowhow of the managers/executives, most of them can be described mathematically and solved ... -
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 ... -
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 ... -
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 ... -
Fuzzy integrals for edge detection
Marco Detchart, Cedric ; Lucca, Giancarlo; Pereira Dimuro, Graçaliz ; Asmus, Tiago ; López Molina, Carlos ; Borges, Eduardo N.; Rincon, J. A.; Julian, Vicente; Bustince Sola, Humberto (Springer, 2023)
Contribución a congreso / Biltzarrerako ekarpena
In this work, we compare different families of fuzzy integrals in the context of feature aggregation for edge detection. We analyze the behaviour of the Sugeno and Choquet integral and some of its generalizations. In ... -
General admissibly ordered interval-valued overlap functions
Asmus, Tiago ; Pereira Dimuro, Graçaliz ; Sanz Delgado, José Antonio ; Wieczynski, Jonata; Lucca, Giancarlo; Bustince Sola, Humberto (CEUR Workshop Proceedings (CEUR-WS.org), 2021)
Contribución a congreso / Biltzarrerako ekarpena
Overlap functions are a class of aggregation functions that measure the verlapping degree between two values. They have been successfully applied in several problems in which associativity is not required, such as ... -
HybriD-GM: a framework for quantum computing simulation targeted to hybrid parallel architectures
(MDPI, 2023) Artículo / Artikulua
This paper presents the HybriD-GM model conception, from modeling to consolidation. The D-GM environment is also extended, providing efficient parallel executions for quantum computing simulations, targeted to hybrid ... -
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 ... -
Neuro-inspired edge feature fusion using Choquet integrals
Marco Detchart, Cedric ; Lucca, Giancarlo; López Molina, Carlos ; Miguel Turullols, Laura de ; Pereira Dimuro, Graçaliz ; Bustince Sola, Humberto (Elsevier, 2021)
Artículo / Artikulua
It is known that the human visual system performs a hierarchical information process in which early vision cues (or primitives) are fused in the visual cortex to compose complex shapes and descriptors. While different ... -
On construction methods of (interval-valued) general grouping functions
Pereira Dimuro, Graçaliz ; Asmus, Tiago ; Pinheiro, Jocivania; Santos, Helida; Borges, Eduardo N.; Lucca, Giancarlo; Rodríguez Martínez, Iosu ; Mesiar, Radko; Bustince Sola, Humberto (Springer, 2022)
Contribución a congreso / Biltzarrerako ekarpena
Recently, several theoretical and applied studies on grouping functions and overlap functions appeared in the literature, mainly because of their flexibility when comparing them with the popular aggregation operators ... -
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 ... -
Pre-aggregation functions: construction and an application
Lucca, Giancarlo; Sanz Delgado, José Antonio ; Pereira Dimuro, Graçaliz ; Bedregal, Benjamin ; Mesiar, Radko; Kolesárová, Anna; Bustince Sola, Humberto (IEEE, 2015)
Artículo / Artikulua
In this work we introduce the notion of preaggregation function. Such a function satisfies the same boundary conditions as an aggregation function, but, instead of requiring monotonicity, only monotonicity along some ... -
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 ... -
Systematic review of aggregation functions applied to image edge detection
Amorim, Miqueias; Pereira Dimuro, Graçaliz ; Borges, Eduardo N.; Dalmazo, Bruno L.; Marco Detchart, Cedric ; Lucca, Giancarlo; Bustince Sola, Humberto (MDPI, 2023)
Artículo / Artikulua
Edge detection is a crucial process in numerous stages of computer vision. This field of study has recently gained momentum due to its importance in various applications. The uncertainty, among other characteristics of ...
