A new method for students' learning achievement evaluation by automatically generating the weights of attributes with fuzzy reasoning capability

In this paper, we present a new method for students' learning achievement evaluation by automatically generating the weights of the attributes “accuracy rate”, “time rate”, “difficulty”, “complexity”, “answer-cost” and “importance”, 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.