Abstract
Based on division of the three-dimensional space from data samples, the method proposed in this paper can rapidly extract fuzzy rules by using the fuzzy information of the samples. The principle of this approach is proved theoretically. Due to its simplicity this method can be used to extract fuzzy rules in real-time for an adaptive control system. Simulation results showed that this approach is effective and practical.
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Project (69775013) supoorted by Natural Science Foundation of China.
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Jian-gang, Y., Ru-ming, W. A rapid fuzzy rule extraction method for fuzzy controller. J. Zhejiang Univ. Sci. A 1, 311–316 (2000). https://doi.org/10.1631/BF02910642
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DOI: https://doi.org/10.1631/BF02910642