Determination of Academic Performance and Academic Consistency by Fuzzy Logic

Academic evaluation is becoming an increasingly popular area. In this work, we have developed a software tool using fuzzy logic to find out the academic performance and consistency of students. Traditionally, the academic performance had been measured by the result of a student. However, the new method developed in this work has taken several factors into consideration. The factors are the parameters that influence the academic performance and consistency of students. Such factors have been established by consulting students and data is obtained with the help of online surveys and face to face interviews with students of Electrical and Computer Engineering students from North South University, Dhaka, Bangladesh. Some of the factors that are considered: "Online Assistance", "Part-Time Job", "Number of courses", "Hours spent Studying etc. The data have been used to develop the tool for measuring the academic performance and consistency. The performance is measured with the Fuzzy Inference System (FIS), Adaptive Neuro Fuzzy Inference System (ANFIS). In case of obtaining the academic consistency, the data of different factors are used to generate the clusters using the k-means algorithm.