Notice of RetractionA model for reducing indicator system of evaluation of public security condition based on rough sets

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.

The indicator system of evaluation of public security condition has many problems such as stronger subjectivity, more redundant information etc. So this paper proposed a model for reducing indicator system of evaluation of public security condition based on rough sets. The model firstly does data discretization in indicator system of evaluation of public security condition using the method of attribute discretization based on Shannon entropy. Then the model does attribute reduction based on the theory of rough sets to delete the redundant indicator in the indicator system. The model finally computes the weight of all remainder indicators. The analysis of the realistic example shows that this model is effective and feasible.