Rough Measuring for GIS Attribute Data in Different Knowledge Granularities
不同知识粒度下GIS属性数据粗糙度量

Uncertainty of GIS is a study hotspot.The main study is mainly concentrated on traditional methods as probability theory.We use concept of lower approximation and upper approximation,take the attribute data of GIS as attribute sets for information system,then induct attribute data for equivalence class by different attribute assemble,and then use roughness,roughentropy,rough precision to measure the uncertainty of GIS attribute data.Then we find rough precision and roughertropy is descending along with thining in different knowledge granularities for having same attribute.It is corresponding with people's cognitive habit,and would give a new direction for uncertainty and congnitive study for GIS.