Abstract：In order to control and reduce spatial data quality evaluation of language fuzziness and uncertainty,correctly determine weight and make evaluation results quantitative and scientific,Vague set is adopted to quantity uncertainty of language,and attribute discrimination to determine weight,and distance of positive ideal solution is used to carry out spatial data quality evaluation. The research results show that it reflects fuzziness and uncertainty of spatial data quality information understanding,can correctly determine weight of each index,evaluation results can more reflect actual spatial data quality; and can increase objectivity and reduce subjectivity so as to make evaluation results scientific,based on Vague set and attribute discrimination. The results of this study can provide a reference method to the spatial data quality evaluation.

Keyword：spatial data quality;attribute discrimination;distance of positive ideal solution;Vague set;uncertain language;