节点文献
Rough集理论及其在GIS属性分析和知识发现中的应用
Rough Set Theory and Its Application in Attribute Analysis and Knowledge Discovery in GIS
【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。
【Abstract】 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.
【关键词】 Rough集;
GIS;
属性分析;
知识发现;
【Key words】 rough sets; GIS; attribute analysis; knowledge discovery;
【Key words】 rough sets; GIS; attribute analysis; knowledge discovery;
【基金】 国家自然科学基金!48961050
- 【文献出处】 武汉测绘科技大学学报 ,JOURNAL OF WUHAN TECHNICAL UNIVERSITY OF SURVEYING AND MAPPING(WTUSM) , 编辑部邮箱 ,1999年01期
- 【分类号】P208
- 【被引频次】65
- 【下载频次】259