Evaluating students’ learning achievement based on fuzzy rules with fuzzy reasoning capability

In this paper, we present a new method for evaluating students’ learning achievement by automatically generating the weights of the attributes “accuracy rate”, “time rate”, “difficulty”, “complexity”, “answer-cost” and “importance” of fuzzy rules, respectively, with the fuzzy reasoning capability. The proposed method can be more sensitive to reflect students’ learning achievement. It can provide us with more fairer and more reasonable results for students’ learning achievement evaluation than Saleh and Kim’s method (2009).