| Texto completo | |
| Autor(es): |
Sandri, Sandra
;
Mendonca, Jonas
;
Martins-Bede, Flavia
;
Guimaraes, Ricardo
;
Carvalho, Omar
;
IEEE
Número total de Autores: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE); v. N/A, p. 7-pg., 2012-01-01. |
| Resumo | |
This paper describes a fuzzy similarity relation approach to Case-Based Reasoning. Residuated implication operators are used to create a fuzzy resemblance relation between cases, modeling the CBR basic principle "the more similar the problem descriptions are, the more similar the solution descriptions are" as a fuzzy gradual rule. We take the classification of Schistosomiasis prevalence estimation in a region of Brazil as case study, in order to investigate the effects in such a framework of weighting cases individually in classification tasks, considering a set of training strategies. (AU) | |
| Processo FAPESP: | 12/02077-8 - 2012 IEEE World Congress on Computational Intelligence - WCCI'12 |
| Beneficiário: | Sandra Aparecida Sandri |
| Modalidade de apoio: | Auxílio à Pesquisa - Reunião - Exterior |