 | 2011 |
| 21 |  | Marcos Evandro Cintra,
Maria Carolina Monard,
Everton Alvares Cherman,
Heloisa de Arruda Camargo:
On the estimation of the number of fuzzy sets for fuzzy rule-based classification systems.
HIS 2011: 211-216 |
| 2010 |
| 20 |  | Fabio Justo dos Santos,
Heloisa de Arruda Camargo:
Decision support systems in multicriteria groups: An approach based on fuzzy rules.
FUZZ-IEEE 2010: 1-8 |
| 19 |  | I-Hsien Yin,
Estevam R. Hruschka Jr.,
Heloisa de Arruda Camargo:
Intelligent Classification System Using a Pruned Bayes Fuzzy Rule Set.
ICMLA 2010: 635-640 |
| 18 |  | Marcos Evandro Cintra,
Heloisa de Arruda Camargo:
Feature Subset Selection for Fuzzy Classification Methods.
IPMU (1) 2010: 318-327 |
| 17 |  | Marcos Evandro Cintra,
Maria Carolina Monard,
Heloisa de Arruda Camargo:
An Evaluation of Rule-Based Classification Models Induced by a Fuzzy Method and Two Classic Learning Algorithms.
SBRN 2010: 188-193 |
| 16 |  | Adinovam H. M. Pimenta,
Heloisa de Arruda Camargo:
Genetic Interval Type-2 Fuzzy Classifier Generation: A Comparative Approach.
SBRN 2010: 194-199 |
| 15 |  | Tatiane Marques Nogueira,
Heloisa de Arruda Camargo:
Fuzzy-CCM: A context-sensitive approach to fuzzy modeling.
Int. J. Hybrid Intell. Syst. 7(1): 33-43 (2010) |
| 2009 |
| 14 |  | Marcos Evandro Cintra,
Heloisa de Arruda Camargo,
Trevor Martin:
Optimising the Fuzzy Granulation of Attribute Domains.
IFSA/EUSFLAT Conf. 2009: 742-747 |
| 13 |  | I-Hsien Yin,
Estevam R. Hruschka Jr.,
Heloisa de Arruda Camargo:
The Impact of Pruning BayesFuzzy Rule Set.
ISDA 2009: 456-461 |
| 2008 |
| 12 |  | Tatiane Marques Nogueira,
Heloisa de Arruda Camargo:
Context-Sensitive Clustering in the Design of Fuzzy Models.
HIS 2008: 240-245 |
| 11 |  | Marcos Evandro Cintra,
Heloisa de Arruda Camargo,
Maria Carolina Monard:
Fuzzy Feature Subset Selection Using the Wang & Mendel Method.
HIS 2008: 590-595 |
| 10 |  | Marcos Evandro Cintra,
Heloisa de Arruda Camargo,
Estevam R. Hruschka Jr.,
Maria do Carmo Nicoletti:
Automatic Construction of Fuzzy Rule Bases: a further Investigation into two Alternative Inductive Approaches.
J. UCS 14(15): 2456-2470 (2008) |
| 2007 |
| 9 |  | Estevam R. Hruschka Jr.,
Heloisa de Arruda Camargo,
Marcos Evandro Cintra,
Maria do Carmo Nicoletti:
BayesFuzzy: Using a Bayesian Classifier to Induce a Fuzzy Rule Base.
FUZZ-IEEE 2007: 1-6 |
| 8 |  | Marcos Evandro Cintra,
Heloisa de Arruda Camargo:
Fuzzy Rules Generation using Genetic Algorithms with Self-adaptive Selection.
IRI 2007: 261-266 |
| 2006 |
| 7 |  | Anderson Francisco Talon,
Heloisa de Arruda Camargo:
Co-Evolution: An Approach to Automatic Generation of Fuzzy Systems.
HIS 2006: 35 |
| 2004 |
| 6 |  | Pablo Alberto Dalbem de Castro,
Daniel Monegatto Santoro,
Heloisa de Arruda Camargo,
Maria do Carmo Nicoletti:
Improving a Pittsburgh Leant Fuzzy Rule Base using Feature Subset Selection.
HIS 2004: 180-185 |
| 5 |  | Matheus Giovanni Pires,
Heloisa de Arruda Camargo:
Genetic Learning and Optimization of Fuzzy Sets in Fuzzy Rule-Based System.
IRI 2004: 623-628 |
| 4 |  | Pablo Alberto Dalbem de Castro,
Heloisa de Arruda Camargo:
A Study of the Reasoning Methods Impact on Genetic Learning and Optimization of Fuzzy Rules.
SBIA 2004: 414-423 |
| 3 |  | Pablo Alberto Dalbem de Castro,
Matheus Giovanni Pires,
Heloisa de Arruda Camargo,
Orides Morandin Jr.,
Edilson R. R. Kato:
Genetic learning of fuzzy rules applied to sequencing problem of FMS.
SMC (5) 2004: 4336-4341 |
| 2003 |
| 2 |  | Witold Pedrycz,
Heloisa de Arruda Camargo:
Fuzzy timed Petri nets.
Fuzzy Sets and Systems 140(2): 301-330 (2003) |
| 2000 |
| 1 |  | José Augusto Fabri,
Heloisa de Arruda Camargo:
Sistema Neuro-Fuzzy para Aquisição de Conhecimento (NeuroFAC).
IBERAMIA-SBIA 2000 Open Discussion Track 2000: 284-293 |