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

Abstract

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.