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In this paper, we present a new method for students' learning achievement evaluation by automatically generating the weights of the attributes ldquoaccuracy raterdquo, ldquotime raterdquo, ldquodifficultyrdquo, ldquocomplexityrdquo, ldquoanswer-costrdquo and ldquoimportancerdquo, respectively, with the fuzzy reasoning capability. The proposed method normalizes the adjustment quantity to insure the fairness of the adjustment in each inference result. It can provide us much fairer and more reasonable inference results for students' learning achievement evaluation.
Machine Learning and Cybernetics, 2009 International Conference on (Volume:5 )
Date of Conference: 12-15 July 2009