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| AUTOMATICALLY EXTRACTING AND OPTIMIZING FUZZY RULE BASE |
| Gu Linyue; Zhang Liming |
| Electronic Engineering Departiment,Fudan University, Shanghai 200433 |
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Abstract A method of automatically extracting and optimizing fuzy rule base is presented. Firstly, it applies the method of CCM (Cell-to-Cell Mapping) to analyze the evolving trend and global behavior of the closed-loop fuzzy dynamical system based on a cell state space. Secondly, each rule base is evaluated to determine a performance index according to the control objective. Thirdly, GA (Genetic Algorithm) updates the old population of coded rule bases using the performance index of each rule base generation by generation. A complicated nonlinear system---an inverted pendulum is simulated to illustrate the details of the algorithms and the results demonstrate the validity of the method.
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Received: 21 April 1994
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1996, Vol. 18 
