基于模糊模式识别模型的排土场复垦适宜性评价

Vegetation suitability evaluation in a mining site based on fuzzy pattern recognition model

通过构建矿山排土场植被复垦适宜性评价指标体系,运用改进后的层次分析法确定各评价指标的权重;通过计算各评价指标的标准隶属度和相对隶属度,建立基于以距离平方和的最小值为判别标准的模糊模式识别模型;以相对状态特征值作为评判指标,通过计算各子系统特征向量的平均值得出最终的评价等级特征值。该方法应用于新疆某矿山排土场植被复垦适宜性等级评价,其结果表明:该排土场植被复垦适宜性等级为勉强适宜,与实际较为符合;基于改进的层次分析法定权的模糊模式识别模型具有更好的区分度,计算结果更合理、更稳定。

An evaluation system was established to evaluate the vegetation reclamation suitability for mine dumps.The index weight was determined by analytic hierarchy process. The fuzzy recognition model with the squared distance and the minimum value as the discrimination criteria was established by calculating standard membership degree and the relative membership degree of each evaluation index. By making relative state characteristic value as the evaluation index,the average of the feature vectors of the subsystems was calculated to get the feature value of the final evaluation grade. The method was used to evaluate the vegetation reclamation suitability of a mine dump in Xinjiang. The results showed that the suitability grade of the dump for vegetation reclamation was marginal and the results were more reasonable,stable and discriminating based on the improved AHP with fuzzy pattern recognition model for weight determination.