文章基本信息

标题：The Rough Method for Spatial Data Subzone Similarity Measurement
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作者：Weihua Liao
期刊名称：Journal of Geographic Information System
印刷版ISSN：2151-1950
电子版ISSN：2151-1969
出版年度：2012
卷号：4
期号：1
页码：37-45
DOI：10.4236/jgis.2012.41006
出版社：Scientific Research Publishing
摘要：There are two methods for GIS similarity measurement problem, one is cross-coefficient for GIS attribute similarity measurement, and the other is spatial autocorrelation that is based on spatial location. These methods can not calculate subzone similarity problem based on universal background. The rough measurement based on membership function solved this problem well. In this paper, we used rough sets to measure the similarity of GIS subzone discrete data, and used neighborhood rough sets to calculate continuous data’s upper and lower approximation. We used neighborhood particle to calculate membership function of continuous attribute, then to solve continuous attribute’s subzone similarity measurement problem.
关键词：Subzone; Rough Sets; Neighborhood Rough Sets; Similarity Measurement