A study of academic performance evaluation using Fuzzy Logic techniques

The paper presents a New Fuzzy Expert System (NFES) for student academic performance evaluation based on Fuzzy Logic techniques. It introduces the principles behind fuzzy logic and illustrates how these principles could be applied by educators to evaluating student academic performance. The aim of proposed NFES to adaptively adjust the training for each particular students on the basis of his/her own pace of learning. This means that the NFES will monitor the student´s progress and have the ability to make decision about next step training. Several approaches using fuzzy logic techniques have been proposed to provide a practical method for evaluating student academic performance and compare the results (performance) with existing statistical method.