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Fuzzy rule based students' performance analysis expert system

In this era of globalization and technological revolution, education is considered as a first step for every human activity. It plays a vital role in the development of human capital and is linked to an individual's well-being and opportunities for better living. It ensures the acquisition of knowledge and skills that enable individuals to increase their productivity and improve their quality of life. But there are number of factors which deviate student from the actual path resulting in degradation of academic performance. A series of variables is to be considered when to identify the affecting factors towards quality of academic success. Identifying the most contributing variables in the quality of academic performance is a very complex and challenging job. In this proposed work, a fuzzy rule based expert system has been designed to evaluate the performance of students on the basis of various parameters. Firstly, a discussion is held with highly experienced authorities of Lovely Professional University (LPU) with the reason to identify the critical factors that may be affecting students' performance. Five critical factors came into the light namely teaching methodology, university system, university environment, personal reasons and family issues. After that, a one to one formal interaction with engineering students of LPU, is done to identify which kind of factors are affecting particular student. Based upon the collected information, a system is developed which will tell whether the performance of a student will be increased or decreased or remain consistent based on factors provided by the user and counsel him/her against those affecting parameters.