Development of a Fuzzy Mamdani Inference System for the Assessment of the Academic Standing/Continuation Requirements in Higher Educational Institutions
Ekenta Elizabeth Odokuma, Ibidun Christiana Obagbuwa "Development of a Fuzzy Mamdani Inference System for the Assessment of the Academic Standing/Continuation Requirements in Higher Educational Institutions". International Journal of Computer Trends and Technology (IJCTT) V46(1):10-14, April 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
We developed a Fuzzy Mamdani Inference System (FMIS) for the assessment of the Academic Standing and Continuation Requirements in Higher Educational Institutions with the objective of identifying early, students who are at risk of failing out. The developed model has three inputs: Cumulative Grade Point Average (CGPA), Failed Units and Repetition Status and two outputs: Academic Standing and Semester Report. Results show that the model can be used to easily identify and advice students whose performance is going below expectation, to avoid failure and dropout.
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Keywords
Fuzzy logic, Student Performance Evaluation, Academic Standing, CGPA, Continuation Requirement.