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The genetic algorithm has been widely used in many fields as an easy robust global search and optimization method. This paper introduces a new approach to find fuzzy rules using niche genetic algorithms with elitist migrating operator. It uses binary coding scheme. In order to make search results stable, elitist migrating operator reserves good individuals into an elitist sub-population. The simulation result shows that this approach can find fuzzy rules with less compute complexity. Larger and larger amounts of data are collected and stored in databases, increasing the need for effective analysis methods to make use of the information contained implicitly in the data. Data mining is the exploration and analysis of data in order to discover meaningful patterns.
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