提出用粗糙集(RS) 理论的属性约简筛选地下水环境质量评价指标, 通过主客观组合赋权确定各评价指标的 权重, 再利用理想解法( TOPSIS) 和灰色关联度相结合的方法确定各样本的相对贴近度, 从而建立了地下水环境质 量评价的 RS2TOPSIS 模型。将 RS2T OPSIS 模型应用于淮河流域某研究区的地下水环境质量评价, 结果表明, 13 个采样点中水质为? 类、 ò 类、 ó 类的采样点各有两个, 其余各采样点为? 类, 与未约简指标通过理想解法和灰色关 联度相结合的评价模型得出的结果是一致的。

Attribute reduction of rough set (RS) theory was applied to select the evaluation indexes of groundwater environment quality. AHP and entropy methods were used to decide the weight of each evaluation index, and the relative similarity degree of each sample was determined based on the combination method of TOPSIS and gray correlation. Then, the RS 2T OPSIS model was developed to perform the evaluation of groundwater environment quality. The evaluation model was applied to assess groundwater environment quality in the Huaihe River Basin. T he results showed that among 13 groundwater sampling sites, 2 sampling sites belong to level I, II, and III respectively and the remaining 5 sampling sites belong to level IV, which is consistent with the results obtained from the evaluation model with T OPSIS and gray correlation.