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Designing A Fuzzy Rule Based System To Predict Students Academic Performance In Adamawa State University Mubi | Abstract
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Archives of Applied Science Research

Abstract

Designing A Fuzzy Rule Based System To Predict Students Academic Performance In Adamawa State University Mubi

Author(s): Ibrahim Goni, Jerome M. Gumpy and P.B. Zira

This research work is for the design of fuzzy logic based expert system to predict student academic performance in Adamawa State University Mubi; Fuzzy Inference System (FIS) is used in this work, Gaussian membership function is used in this research work; the described experiments were implemented on MATLAB environment 12. Some candidates were used to test the system. The results of the findings reveal that Student academic performance can be predicted based on the inputs used, the system shows 90% accuracy.