Generating fuzzy rules from training instances for fuzzy classification systems

Authors:
Shyi-Ming Chen;Fu-Ming Tsai
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC and Department of Computer Science and Information Engineering ...;Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

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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.