By the theory of rough sets,a new significance of attribute based on the inclusion degree is discussed.

An Algorithm of Attribute Reduction Based on the Attribute Importance in VPRS;

Rough Sets theory is used to analyze the experimental data, First, experimental data is dispersed, then, the influence of vibration of rolling bearing by different kinds of machining quality are evaluated and compared with the attribute importance theory, and the main factors affecting bearing vibration are determined.

Using the equivalent relation in rough set to construct particle,this paper offers decompounds method of particle,furthermore gives the heuristic information in attribute reduction algorithm based on attribute importance.

Fuzzy clustering decision based on significance of attributes of rough sets and its applications;

New messure of significance of attributes and its rule acquising;

Every heuristic information for the reduction of decision table must depends on a measure of the significance of attributes in the table, because it is the key heuristic information to determine which attribute is reducible in decision table.