Abstract：In order to solve uncertain linguistic scientific quantification and correct determination of index weight,Vague set is adopted to quantity linguistic uncertainty,and attribute discrimination is used to determine weight,and distance of positive ideal solution is employed to carry out spatial data quality evaluation. The research results show that: it reflects fuzziness and uncertainty of spatial data quality information understanding,and can correctly determine weight of each index,evaluation results can more reflect actual spatial data quality; the evaluation results 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 distinction;distance of positive ideal solution;Vague set;uncertain language;