A Neuro-Fuzzy Approach in the Classification of Students%26apos; Academic Performance

作者：Do Quang Hung; Chen Jeng Fung^*

来源：Computational Intelligence and Neuroscience, 2013, 2013: 179097.

DOI：10.1155/2013/179097

Classifying the student academic performance with high accuracy facilitates admission decisions and enhances educational services at educational institutions. The purpose of this paper is to present a neuro-fuzzy approach for classifying students into different groups. The neuro-fuzzy classifier used previous exam results and other related factors as input variables and labeled students based on their expected academic performance. The results showed that the proposed approach achieved a high accuracy. The results were also compared with those obtained from other well-known classification approaches, including support vector machine, Naive Bayes, neural network, and decision tree approaches. The comparative analysis indicated that the neuro-fuzzy approach performed better than the others. It is expected that this work may be used to support student admission procedures and to strengthen the services of educational institutions.

• 出版日期2013