参考模糊集合构造方法及模糊模型辨识
FUZZY REFERENCE SETS CONSTRUCTION AND FUZZY MODEL IDENTIFICATION
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摘要: 本文提出了一种基于参考模糊集的模糊模型辨识方法,探讨了模型结构和模糊关系的辨识问题.在隶属函数的定义上引入了优化算法,最终将辨识问题转化为优化问题.文中给出了具体的辨识算法,仿真实例表明该模型辨识方法具有满意的精度.Abstract: An identification algorithm of fuzzy model based on fuzzy reference sets is proposed,while the problems of model structure and fuzzy relation identification are discussed in detail.To construct the membership function,an optimization method is introduced so that the identification problem is converted into an optimization one.Furthermore,concrete algorithm and simulation examples are given.The results show that the fuzzy model established by the proposed method is quite perfect.