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Study on the Student Test Score Weighting by Integrating Grey Relational Grade and Rough Set
Author： Mei-Li You, Mei-Chuan Wei, Wen-Hui Fang and Kun-Li Wen
Keyword： Students’ test scores Soft computing， Grey system theory， Rough set theory， Weighting
Summary： Traditionally, the study on assessing students’ testscores uses the weighted average and standard deviationas the basis of the assessment. However, in real tests, dueto the different difficulties in methods and test items,plus the weighting of each subject is different, theachieved results have many differences which result indifferent decisions. Hence, the paper uses thesoft-computing point of view to propose the method ofintegrating the grey system theory and the rough settheory. Focusing on students’ test scores and using theaverage scores of Chinese, English, math, chemistry,physics and biology as an example, the study uses thepractical math analysis to understand the weighting ofeach subject. First, the paper collects the firstachievement test scores of five classes of category threein a senior high school in Changhu. The analyzedfactors are average scores of Chinese, English,mathematics, chemistry, physics and biology. Next, themathematics models are introduced, and we use fourcardinal grey relational grade in the grey system theoryto analyze the grey relational grade of these classes. Theaverage scores of each class can be obtained, and thenwe use the significance of attributes in the rough settheory to analyze the weighting correlation of the sixsubjects. Through the practical analysis, the obtainedresults are quite consistent with the traditional ideas.
Journal of Grey System(Volume 16)
Page： 113~120
Years： 2013
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