Automatically Constructing Grade Membership Functions for Students´ Evaluation for Fuzzy Grading Systems

In recent years, 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, given by teachers, respectively, for students´ evaluation. Based on the constructed grade membership functions, the system performs fuzzy reasoning to infer the scores of students. The proposed method provides a useful way to evaluate students´ answer scripts in a smarter and fairer manner.