一种带误差修正的复合模糊模型

A Kind of Composite Fuzzy Model with Error Correction

如何改善模糊模型的精度是模糊建模研究中的一个重要问题。为了改善模糊模型的精度,介绍了一种带误差修正的复合模糊模型。该复合模糊模型包括一个普通的模糊模型作为主模型以及若干个用于误差估计的子模型,通过将子模型的输出,即误差的估计用于主模型输出的修正,从而达到改善模型精度的目的。仿真结果证明了该复合模糊模型具有比普通模糊模型更高的精度。

In order to improve the approximation accuracy, a kind of composite fuzzy model with error correction is proposed. It is formed by one main fuzzy model and several correction fuzzy models. The composite fuzzy model has the ability to gradually improve the approximation accuracy by adding new correction models. The overall accuracy of this modeling approach highly depends on the identification accuracy of each particular sub-model.