EVALUATION OF DISTANCE LEARNING STUDENTS PERFORMANCE USING FUZZY LOGIC

Abstract

The availability of Internet has accorded people with the opportunity to get education via Distance Learning. Universities, companies even people have their own online teaching tools. Indeed, learners or people who have business with these institutions want to know the quality of their services and how successful they are. This reason is vital to the institutions in getting ranked and rated in our competitive and challenging world. According to many research works measurement of student performance has a great value to rate and rank educational institutions. In this approach we develop a new measuring methodology of student performance for Distance Learning Institutions based on fuzzy logic. We divided Student Performance into major and additional factors. Major factor contains four sub-parameters and additional consists of three sub-parameters. In our view, it is very necessary to scale these seven factors to be able to get accurate results. The nature of fuzzy logic makes scaling easy to the above mentioned parameters which could lead to the achievement of the expected outcomes and result. However, essence of fuzzy logic cannot be over emphasized.

Keywords: Student Performance Evaluation, Fuzzy Logic, Fuzzy Operators and Reasoning, Linguistic Variables and Rules, Membership Function.

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