摘要
空间数据质量评价是一个模糊性和随机性共存的问题,而传统的质量评价方法无法解决这一难题。本文提出用基于梯形评语云和虚拟云理论的空间数据质量评价方法解决评价过程中模糊性与随机性共存问题。最后,本文分别采用基于梯形评语云和虚拟云的质量评价方法和传统的加权平均法、模糊综合评价方法进行DLG质量评价实验,结果表明,基于梯形评语云和虚拟云的质量评价比传统的评价结果更加直观、客观和细腻。
Quality evaluation of spatial data quality is a problem due to the coexistence of illegibility and randomicity,and traditional evaluation method can not deal with the problem.In the paper,The evaluation method based on Trapeziform Comment Cloud and Dummy Cloud was provided for the DLG evaluation in order to resolve the problem.The test of DLG quality evaluation comparison was done between the studied methods and the traditional weighted average method and fuzzy comprehensive evaluation method.The test result proved that the evaluation result by the method based on Trapeziform Comment Cloud and Dummy Cloud was more intuitionistic,reliable and sensitive.
出处
《测绘科学》
CSCD
北大核心
2011年第3期47-49,共3页
Science of Surveying and Mapping
基金
辽宁省教育厅基金资助(2009A335)
关键词
质量评价
DLG
云理论
quality evaluation
DLG
cloud theory
作者简介
赵泉华（1978-），女，河北承德人，讲师，博士，主要从事GIS产品质量评价、数字图像处理等方面的研究工作。E—mail：zqhlby@163．com
