Título: Mineração de regras Fuzzy em bancos de dados por Algoritmo Genético
Autores: Britto, Jaime de; Lopes, Heitor S.
Resumo: Diagnostic support systems are a clear example of applications where knowledge involved is mostly heuristic. Acquiring that knowledge from historical databases is a challenge approached by some genetic algorithms’ methods. Moreover, most biomedical databases are composed of non deterministic data, requiring the implementation of a system capable of representing and manipulating these information – these are the fuzzy systems. The present work aims joining fuzzy and genetic algorithms’ techniques in a suitable structure for medical diagnostic support, without getting bounded to the respective database. To evaluate this development, results obtained on Wisconsin malignancy of breast cancer diagnostic and on kidney disorders databases are shown.
Código DOI: 10.21528/CBRN2001-056
Artigo em pdf: 5cbrn_056.pdf
Arquivo BibTex: 5cbrn_056.bib