A prediction method for non-stationary time series was proposed in association with multi-resolution of wavelet analysis and interpretability of fuzzy rules. 摘要結合小波分析的多分辨特性和模糊規則的可解釋性，提出了一種非平穩時(shí)間序列預測方法。
The experimental result indicates that the combined model has higher precision of prediction and better adaptability, compared with other single time series prediction models. 數據試驗結果表明，與單一時(shí)間序列預測模型相比，該模型具有較高的預測精度和很好的模型適應性。
