Fuzzy K-Nearest Neighbour Model for Choice of Career Path for Upper Basic School Students
Автор: Awoyelu I.O., Oguntoyinbo E. O., Awoyelu T. M.
Журнал: International Journal of Education and Management Engineering @ijeme
Статья в выпуске: 4 vol.10, 2020 года.
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Many students are faced with the challenge of deciding on a suitable career path. This is because decisions are characterized by a number of subjective judgements. Therefore, choosing a particular career path without first determining the suitability of a student, as a fundamental step, will yield an undesirable outcome. This paper aims at developing a career path decision making model for senior secondary schools. The concept of fuzzy logic was used in developing the model. Crisp sets are converted to fuzzy sets 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 model has accuracy value of 90.22%. This result show that the model is approximately 90% accurate. Also, it has a specificity value of 96.97%. These results show that the model provides a 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, that is, Junior Secondary School students. The model will also serve as a tool in enhancing the work of career experts.
Career path, decision support model, fuzzy logic, fuzzy K-nearest neighbor
Короткий адрес: https://sciup.org/15017262
IDR: 15017262 | DOI: 10.5815/ijeme.2020.04.03
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