基于逆向云模型的矢量地图数据质量综合评估

The Application of Backward Cloud in Quality Evaluation of Vector Map Data

随着矢量地图产品的应用越来越广泛，数据质量越来越受到人们的重视，因此，如何正确地评估矢量地图数据质量成为研究的重点。本文利用云模型进行定性与定量之间的转换，提出了基于逆向云模型的矢量地图数据质量综合评估方法，详细介绍了建立矢量地图数据质量评估云模型的基本思路和方法。实验证明，该评估方法比以往的评价方法更加客观、准确，并且对评估结果的显示更加直观、细腻。

With the widespread application of vector map products, its data quality has drawn more and more attention. Therefore, how to properly evaluate the quality of vector map data is a key problem. In this paper, a comprehensive quality evaluation method of the vector map data is presented by using the mapping between qualitative and quantitative knowledge of the backward cloud model. Then, the method of establishing of cloud model for quality eval- uation is described in detail. Finally, experimental results show that this quality evaluation method is more objective and accurate than the previous evaluation, and its evaluation results can be showed intuitively and delicately.