Several of the traditional techniques of Data Mining have been applied successfully
and others have some limitations. Both, in performance and the quality of knowledge
generated. Recent research has shown that the techniques in the field of IA, such as GA and
Fuzzy sets, can be used successfully. In this research we are interested in investigating the
applicability of a hybrid combination of genetic algorithms and fuzzy sets to find rules in
large and complex spaces. This paper presents a Genetic Algorithm (GA), using Fuzzy Logic,
for coding, assessment and reproduction of chromosomes, looking for classifying data using
extracted rules for the automatic way with the evolution of chromosomes. The Fuzzy Logic is
used to make the rules clearer and closer to human language, using linguistic representations
to identify continuous data.
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