The Evaluation Research Of Postgraduate Education Quality On The Basis Of Rough Set Theory

The research on evaluation of postgraduate education quality is of important significance in both theoretical and practical aspects. Most of the existing evaluation systems for postgraduate education quality are qualitative analysis. Thus the present writer will propose quantitative analysis methods about postgraduate education quality based on rough set.Firstly, the present paper will analyze the evaluation index of postgraduate education quality from the following three aspects:the postgraduate themselves, university and social feedback. The quantifiable evaluation indexes will be filtered from the existing evaluation systems. Secondly, based on the data from the postgraduate office of the University, the existing data will be clustered by K-mean.And the rough set theory is utilized to analyze the data set. The rough set software Rosetta is utilized to make reduction and rule extraction for the known decision tables. The research of the present paper mainly contains the following two aspects:1. Postgraduates are classified into four kinds:engineering, science, arts, management. The information systems of the four kinds of postgraduates are established respectively. Firstly, k-mean is utilized to cluster the data. And then dependency analysis for the evaluation indexes is made on the basis of rough set theory. The attribute reduction for evaluation systems is made by Rosseta. Finally the core indexes of evaluation systems are reached.2. Rule extraction is made among the information systems which are reduced. Analysis and explanation are made for the obtained rules. Therefore, references will be provided for the department concerned for postgraduate training programmes and education reform.