Evaluation of groundwater environment quality based on rough set and TOPSIS model of gray correlation coefficient matrix
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Abstract:
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.
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