引入灰色系统理论对传统理想解法(TOPSIS)进行了拓展，提出了一种基于组合权重的灰色关联理想解法(GC - TOPSIS)。
Introducing the grey system theory, this paper presents a new grey correlation technique for order preference by similarity to ideal solution (GC-TOPSIS) to develop traditional TOPSIS.
引入灰色系统理论，对传统理想解法(TOPSIS)进行了拓展，提出了一种基于组合权重的灰色关联理想解法(GC - TOPSIS)。
Introducing the Grey system theory, this paper presents a new Grey correlation technique for order preference by similarity to ideal solution (GC-TOPSIS) and so as to develop the traditional TOPSIS.
该方法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。
First take the gray correlation coefficient matrix between primitive data sample and ideal scheme as new decision-making matrix, and then use TOPSIS to evaluate and arrange all schemes.
以理想解法和灰色关联度分析法为基础进行组合，得到的组合评价方法能够提高评价结果的有效性。
The combinational evaluation method which combines TOPSIS with gray correlation degree analysis can improve validity of the evaluation result.
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。
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。
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.
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