A prediction method for non-stationary time series was proposed in association with multi-resolution of wavelet analysis and interpretability of fuzzy rules. 摘要结合小波分析的多分辨特性和模糊规则的可解释性，提出了一种非平稳时间序列预测方法。
The experimental result indicates that the combined model has higher precision of prediction and better adaptability, compared with other single time series prediction models. 数据试验结果表明，与单一时间序列预测模型相比，该模型具有较高的预测精度和很好的模型适应性。
