International Journal of Soft Computing

Year: 2020
Volume: 15
Issue: 3
Page No. 58 - 69

Career Path Decision Support System for Upper Basic School Students

Authors : I.O. Awoyelu, E.O. Oguntoyinbo and T.M. Awoyelu

Abstract: Many students are faced with the challenges of deciding on suitable career path because decisions are characterized by a number of subjective judgements. Therefore, choosing a particular career path without first determining the suitability of the student as a fundamental step will yield an undesirable outcome. This paper aims at developing a career path decision making system for senior secondary schools. This model was developed based on the concept of fuzzy logic model. This model automatically converts crisp sets into fuzzy sets by using fuzzy k-nearest neighbour algorithm method. The model was implemented in the MATLAB environment. The performance of the model was evaluated using specificity and accuracy as performance metrics. The results obtained showed the accuracy of 90.22% and a specificity value of 96.97%. These results show that the system provides good support for decision making while eliminating the challenges of indecision and floundering that are characterized with choosing a career path among upper basic school students. The system will also serve as a tool in enhancing the work of career experts.

How to cite this article:

I.O. Awoyelu, E.O. Oguntoyinbo and T.M. Awoyelu, 2020. Career Path Decision Support System for Upper Basic School Students. International Journal of Soft Computing, 15: 58-69.

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