基于Spearman-EAHP变权灰云聚类模型的尾矿库安全评价

针对尾矿库安全评价中存在指标权重群决策意见不易统一和安全评价等级信息具有随机性和模糊性等问题,提出了Spearman?EAHP的变权非对称灰云聚类模型.首先,引入Spearman系数对指标重要性排序进行预处理和一致性检验,考虑指标理想序和指标实测数据非线性变化的影响,建立了基于EAHP法的指标变权算法,全面反映...

Safety Evaluation of Tailings Pond with Grey Cloud Clustering Model Based on Spearman-EAHP Variable Weight

Aiming at the problems in the safety evaluation of tailings pond, such as “non-uniformity of decision-making opinions of index weights” and “randomness and fuzziness of safety evaluation grade information”, an asymmetric gray cloud clustering model based on Spearman-EAHP variable weights was proposed. Firstly, the Spearman coefficient is introduced to pretreat and check the index importance ranking. Then, considering the ideal order of the index and the influence of the non-linear change of the measured data of the indexes, a variable weighting algorithm based on the EAHP method is established for the indexes, which can comprehensively reflect the effects of difference and fuzziness of experts' subjective opinion about index ranking, as well as the difference in tailings pond safety state on index weight, also objectively judge the roles of experts in determining weights. Finally, the asymmetric gray cloud clustering model is applied into the safety evaluation for 3 tailings ponds in Hunan Province. According to the data characteristics of the tailings pond in safety evaluation, a normal gray cloud functions, including the moderate measurement, the upper limit measurement and the lower limit measurement are constructed, and then the influence of index weight was taken into consideration. The evaluation results show that 3 tailings ponds are all at level 3 in the safety grading system, which is consistent with the actual situation. This model is verified to be feasible and effective.