Abstract
In recent years, many methods have been proposed to generate fuzzy rules from training instances for handling the Iris data classification problem. In this paper, we present a new method to generate fuzzy rules from training instances for dealing with the Iris data classification problem based on the attribute threshold value @a, the classification threshold value @b and the level threshold value @c, where @a@?[0,1], @b@?[0,1] and @c@?[0,1]. The proposed method gets a higher average classification accuracy rate than the existing methods.
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