摘要
介绍了Rough集理论的概念与方法，并将其全面引入GIS领域，归纳整理出Rough集理论用于GIS中属性分析和知识发现的一整套方法，为GIS的属性分析和知识发现开辟了一条新途径。
Rough set theory is introduced and applied in GIS. The methods of rough set theory that are suitable for the problems of attribute analysis and knowledge discovery in GIS are summarized and proposed. including consistency of attribute table, attribute significance, attribute dependence, reduction of attribute table, minimum decision algorithm generation, etc. These methods are valuable in theory and practice and would provide new solutions for GIS attribute analysis and knowledge discovery.
出处
《武汉测绘科技大学学报》
CSCD
1999年第1期6-10,共5页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金!48961050
