Rough-set based algorithm on learning classification rules of spatial objects

A method that uses rough set for the learning of classification rules about 2-dimensional spatial objects was presented.First,an information table of spatial classification was created.Then,rough set was used to reduce condition attributes and extract classification rules from the table.The extracted rules were evaluated according to several criteria.Experiments demonstrate that the method of rough set is efficient for learning classification rules of spatial objects.