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提出了一种新的系统辨识的方法——模糊最小二乘系统辨识法。它适用于处理等精度条件下测量得到的数据；同时，给出了一种确定测量数组中各次测量数据隶属度的方法，并进行了应用举例，所得结果与传统辨识方法结果比较，证明此法对提高系统辨识精度效果显著。
A new method of system identification - fuzzy least squares system identification method is proposed. It is suitable for processing the data measured under equal accuracy conditions. At the same time, a method to determine the membership degree of each measurement data in measurement array is given, and examples of its application are given. The obtained results are compared with the results of traditional identification methods, Law to improve the accuracy of system identification significantly.