A new TOPSIS model which based on the gray correlation coefficient matrix is presented in order to overcome the deficiency in more indicator of decision-making process.

以原始数据样本与理想方案之间的灰色关联系数矩阵为新的决策矩阵，利用理想解法对方案进行排序。

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Caculating results of an example show that the discriminating coefficient which results in changes of the correlation degree effect on the correlation order.

通过实例计算表明，在进行灰色关联分析时，分辨系数的变化将导致关联度的变化而影响关联序。

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The Y-X correlation coefficient of a high order non - linear equation through mutation was higher than that of a simple linear equation by about 5 percent.

用权重方程产生的突变的高阶非线性预报方程，其y与X的相关系数比1阶线性方程提高5%左右。

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