中文摘要：

为准确评估尾矿库溃坝风险等级,建立了 GA - AHP和云物元评估模型.采用德尔菲法对尾矿 库溃坝风险因素进行识别,构建了尾矿库溃坝风险评估指标体系;利用遗传层次分析法计算尾矿库溃坝风险 指标的权重;对评估指标进行分级,建立了基于GA -AHP和云物元模型的尾矿库溃坝风险评估模型.将所建 立的模型运用到实际案例中,利用Matlab软件计算了各评估指标的隶属度和综合隶属度,结果表明,该尾矿 库溃坝风险等级为“正常库”,评估结果与尾矿库实际情况吻合.

英文摘要：

For the accurate evaluation on risk level of break-dam in mine tailings pond,a GA- AHP and cloud-matter element model was established. The major risk factors on break-dam were identified by using the Delphi method,and the risk evaluation index system of break-dam was established. The index weights of break-dam in mine tailings pond were calculated by using GA- AHP. The evaluation index was classified to establish the risk assessment model based on the GA- AHP and cloud-matter element model. The established model was applied to practical case,and the Matlab software was used to calculate the subordinate degree. The results showed that the risk of break-dam in the mine tailings pond is normal and the evaluation results are consistent with the practice.