改进的属性综合评价及在地下水评价中的应用

Improvement of attribute synthetic assessment system and application to the assessment of groundwater to pollution

提出运用均匀随机数计算评价指标的权重,并用加速遗传算法求解基于属性均值聚类的属性综合测度,改进了属性综合评价系统,并讨论了在地下水易污染性评价中的应用,从而为以开采地下为饮用水的城市提供科学决策依据。

Using even random number to calculate assessment index weght is presented. Based on attribute means clustering, attribute synthetic measure is solved by using real coding based accelerateing genetic algorithm. Attribute synthetic assessment system is inproved, and discussed to application to the assessment of groundwater vulnerability to pollution, in order to offer scientific policy-making foundation for exploiting underground drinking water city.