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介绍了一种由采样数据确定模糊模型结构的方法 .方法中变量上的隶属函数个数不断增加并通过性能评价来确定是否保留这些操作 ,该过程重复直至变量上的隶属函数个数确定下来 .该方法被用于加热炉的建模并由遗传算法来调节其中的参数 .仿真结果证明了这种方法的有效性 .
A method for determining the structure of fuzzy model from sampled data is introduced.The number of membership functions in variables in the method is continuously increased and the performance evaluation is used to determine whether to retain these operations or not. The process is repeated until the number of membership functions on the variables is determined. The method was used to model the furnace and the parameters were adjusted by genetic algorithm.The simulation results proved the effectiveness of this method.