Rough Set Theory and Its Application in Attribute Analysis and Knowledge Discovery in GIS

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.