Automatically constructing grade membership functions of fuzzy rules for students’ evaluation

Some methods have been presented for applying the fuzzy set theory in education grading systems. In this paper, we present a method to automatically construct the grade membership functions of lenient-type grades, strict-type grades and normal-type grades of fuzzy rules, respectively, for students’ evaluation. Based on the constructed grade membership functions, the system performs fuzzy reasoning to infer the scores of students. It provides a useful way to evaluate students’ answerscripts in a smarter and fairer manner.