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http://dx.doi.org/10.5391/JKIIS.2004.14.6.776

Development of a New Max-Min Compositional Rule of Inference in Control Systems  

Cho, Young-Im (Dept. of Computer Science, Pyongtaek University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.6, 2004 , pp. 776-782 More about this Journal
Abstract
Generally, Max-Min CRI (Compositional Rule of Inference ) method by Zadeh and Mamdani is used in the conventional fuzzy inference. However, owing to the problems of Max-Min CRI method, the inference often results in significant error regions specifying the difference between the desired outputs and the inferred outputs. In this paper, I propose a New Max-Min CRI method which can solve some problems of the conventional Max-Min CRI method. And then this method is simulated in a D.C.series motor, which is a bench marking system in control systems, and showed that the new method performs better than the other fuzzy inference methods.
Keywords
fuzzy inference system; similarity measure;
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