基于模糊粗糙集的GIS数据转换方法研究

Method Study of GIS Data Transformation Based on Fuzzy Rough Set

GIS按照数据结构可以分为矢量数据和栅格数据两种。GIS的空间建模大部分是基于栅格数据进行的,因此,对于一些在矢量结构中表达的属性(如人口密度等),需要转换成栅格数据。传统的数据转换方法一般都是面积占优法,这种方法没有充分考虑空间数据的模糊性问题。采用模糊粗糙集的理论,对矢量多边形数据转换成栅格数据的方法做了探讨。基于模糊粗糙集的数据转换方法考虑到了多边形数据的边界模糊性,利用隶属函数来确定多边形边界的不确定性。

The data of GIS are divided into vector data and grid data for its structure. The spatial model of GIS is mainly based on grid data. Therefore, some vector data with special properties should be transformed to grid data and area occupied superiorly method is widely used. However, this method did not fully consider the fuzzy attribute of spatial data. Rough set theory is used to discuss the potential approach to convert polygon data to grid data, meanwhile, using the membership function and fuzzy rough set to de termine the uncertainty for the boundary of polygon and to transform the polygon to grid.