为使不确定事件评价中指标的筛选更加准确，借助数据挖掘的聚类思想来刻画两个指标间的相似程度，将相似程度归一化获得表现相互支持度的动态权重，再将静态权重和动态权重按比例系数分配，求得综合权重。将此权重确定方法运用到土石坝坝坡失稳预警指标体系中，结果表明：管涌权重最大，其次是滑坡、流土和裂缝，亦即管涌对坝坡失稳影响最为突出。并通过实例验证了该方法的可行性和实用性。%In order to make a more accurate selection of indicators in uncertain events' assessment, the similarity degree between two indicators was described with the help of date mining clustering ideas, so as to reflect the degree of mutual support between these indicators. Dynamic weights which represent the mutual support were obtained by normalizing the degree of similarity. Then the static weights and dynamic weights were allocated a proportional coefficient to get the comprehensive weight. The method was applied to dam slop instability early warning index system of an earth and rockfill dam. The calculation results showed that piping's weight is larger than landslide, soil flow and crack, which means that piping index is highlight in dam instability early warning. The feasibility and practicality of the method were also verified.
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