GIS数据质量的模糊综合评判分析

GIS数据在生产过程中由于各方面的原因,常使数据质量的优劣具有模糊性,给数据质量评价带来困难,影响了GIS应用。本研究尝试将模糊数学概念引入GIS数据质量评价中,用模糊数学理论建立GIS数字化产品质量评估模型。介绍了模型中评判因子、评价集、权重确定和模糊集合隶属函数的建立过程,并举例说明应用模糊综合评判方法对矢量化产品的评判过程。该方法有效地解决了GIS数据质量优劣的客观定性问题,使矢量化数据产品的评判简便、直观,保证了数据质量。

Analysis of Synthetical Multi-fuzzy Evaluation on the Quality of GIS Data

The quality of data is very important in GIS. Due to various reasons in the process of GIS data production, the data' s quality is usually full of uncertainty. It is difficult to give an impersonal evaluation on these data, and the normal use of these data is disturbed. In this paper, the concept of fuzzy mathematics is introduced to evaluate the quality of GIS data. The evaluation model for data quality of GIS is built through fuzzy mathematics theory. In the process of the model building, the evaluating factors, evaluating set, the conformation of factors' weightiness and membership function of the evaluation set are introduced. A practical example is given to explain how the method was used to evaluate the vectoral production. This method can solve the impersonal evaluation of the quality of GIS data effectively, and lead the evaluation of the products of vector data become easier and intuitively when using this method. The quality of data is guaranteed.