Comparative Analysis of Post University Matriculation Examination in Nigerian Universities Using Fuzzy Logic
Peter Ayuba *
Department of Mathematical Sciences, Kaduna State University, Kaduna, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
The poor performance of students in Mathematical Science based programmes in Nigerian Universities is partly as a result of the tools and data used in the admission process into tertiary institutions. In this paper, a comparative analysis on three rule base cases using fuzzy logic was made on the Post University Matriculation Examination (PUME) results of the current 400 Level students in Mathematical Sciences programmes of Kaduna State University, Kaduna. The results reveal that the CGPA of students that had very good performance in Mathematics and Physics in their PUME are higher as compared to those that score fail in either Physics or Mathematics but were offered admissions into Mathematical Sciences programmes. The percentage pass from the aggregate method is 41% while that for fuzzy logic approach is 59%.
Keywords: Fuzzy logic, fuzzy set, membership function, aggregate method, neural network, PUME, JAMB, UTME and CGPA.