李雯静, 邱佳, 吕垒. GIS信息综合中一种改进的粗集选取方法[J]. 武汉大学学报 ( 信息科学版), 2011, 36(5): 588-592.
引用本文: 李雯静, 邱佳, 吕垒. GIS信息综合中一种改进的粗集选取方法[J]. 武汉大学学报 ( 信息科学版), 2011, 36(5): 588-592.
LI Wenjing, QIU Jia, LUE Lei. An Improvement Selection Method of GIS Information Generalization Based on Rough Set[J]. Geomatics and Information Science of Wuhan University, 2011, 36(5): 588-592.
Citation: LI Wenjing, QIU Jia, LUE Lei. An Improvement Selection Method of GIS Information Generalization Based on Rough Set[J]. Geomatics and Information Science of Wuhan University, 2011, 36(5): 588-592.

GIS信息综合中一种改进的粗集选取方法

An Improvement Selection Method of GIS Information Generalization Based on Rough Set

  • 摘要: 在现有的基于粗集的GIS信息综合的基础上,针对GIS信息表的特殊性,提出了先离散化再添加决策属性的粗集计算思路,采取动态评价目标重要性并选取的方法对目标进行综合。实验表明,该离散化思路可以很好地解决GIS信息表的离散化效率问题,动态评价选取的方法不仅能综合考虑目标的空间及属性信息,而且可以保持目标综合前后空间特征的一致性。

     

    Abstract: On the basis of the existing GIS information generalization method based on rough set,a computing idea is put forward in view of the particularity of GIS information table.Firstly,we discretize the continuous attributes by unsupervised discretization.Secondly,we add the decision attribute according to the value of conditional attributes.Thirdly,we calculate the importance of conditional attributes by attribute reduction of rough set.Lastly,we generalize the objects by dynamic assessment.The experimental results show that the procedure can solve the discretization efficiency problem of GIS information table;and generalize objects by dynamic assessment not only take into account the spatial information as well as the attribute information of objects,but also keep the main spatial feature of the objects after generalization.

     

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