Based on the grey-forecasting model with unfixed parameter, the primary model was ameliorated through optimized analysis on the non-equidistant sequence to improve its fining and forecasting accuracy especially when there are only few experimental data.

• 摘要针对变参数灰色模型在实验数据少时误差较大的问题，提出了对非等间距序列优化的方法，使原来模型得到改进，从而提高了模型的拟合和预测精度，拓宽了应用范围。