Notice of RetractionStudy on algorithm of knowledge reduction in decision table on the basis of the priority sequence

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Different condition attributes have different impact on categories in knowledge database. To describe the importance of different attributes, we need to establish the “space” that can measure the degree of this importance. The classification accuracy is a agreed standard of sorting attribute set. We need wipe off redundant condition attributes and to find a satisfactory reduction under the condition of correct classification. However, there are many different attribute sets to one classification accuracy and it is necessary to take priority sequences for these attribute sets. Consistency degree can more precisely describe the importance of attribute set than classification accuracy. By sorting all possible attribute set which has been added with extra-core attributes, we can gain satisfactory reduction by gradually building up extra-core attributes from the core.