Survey on five fuzzy inference-based student evaluation methods

Abstract

In case of non-automated examinations the evaluation of students' academic achievements involves in several cases the consideration of impressions and other subjective elements that can lead to differences between the scores given by different evaluators. The inherent vagueness makes this area a natural application field for fuzzy set theory-based methods aiming the reduction of the mentioned differences. After introducing a criterion set for the comparison the paper surveys five relevant fuzzy student evaluation methods that apply fuzzy inference for the determination of the students' final score. © 2010 Springer-Verlag Berlin Heidelberg.