针对目前水利水电规划方案综合优选方法中存在的问题，提出了基于变异系数权重的水利水电规划方案综合优选属性识别模型。
Aiming at the problem of the existent comprehensive optimization model, this paper presents a new attribute recognition model for hydropower planning scheme optimization.
为解决用主观赋权法和客观赋权法确定指标权重存在的问题，采用群组决策特征根法和变异系数法相结合的方法。
To overcome the shortcomings of the methods to subjectively or objectively determine the weight of indexes, the group eigenvalue method combining with the variation coefficient m.
采用VIKOR模型建立预制构件供应商多指标评价模型，并采用客观赋权的变异系数法确定评价指标的权重系数。
Then, builds the selection model of prefabricated element supplier base on VIKOR model, and calculates the weight coefficients based on variation coefficient method.
该模型采用反映评价指标特征值之间的差异性的参数变异系数作为评价指标的权重，减少了权重确定的主观性。
The model USES the variation coefficient as parameter, which reflects eigenvalue difference to represent the weight of evaluation indexes, decreases the subjectivity of weight decision.
该体系运用极小极大离差法进行指标的筛选，并应用变异系数法进行指标权重的确定。
It applies Minimax deviation method and coefficient of variation method to define weighting to avoid influences caused by human factors from subjective assignment.
同时，在确定准则层对目标层的权重时使用了变异系数法。
At the same time, we use coefficient of differentiation method in determining the weights of criterion tier to target tier.
同时，在确定准则层对目标层的权重时使用了变异系数法。
At the same time, we use coefficient of differentiation method in determining the weights of criterion tier to target tier.
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