The extraction research on evaluation rules for students based on discernibility matrix

Abstract

We apply the rough set theory to the evaluation process of students. Firstly, we should create the information table of evaluation decision by using the discernibility matrix of rough set theory to do attribute reduction for the evaluation data and hence reduce unnecessary evaluation indicators. We will do value reduction and rule extraction algorithm based on this and then dig out the general rule of the evaluation for students from enormous evaluation data in order to provide decision basis for the work of students at school. This process of evaluation is totally about enabling the date talk and reduce the influence of human-dominated factors, as a result, the outcome of the evaluation will be more objective and fair.