@article{MAKHILLIJSC202015321483,
    title = {Career Path Decision Support System for Upper Basic School Students},
    journal = {International Journal of Soft Computing},
    volume = {15},
    number = {3},
    pages = {58-69},
    year = {2020},
    issn = {1816-9503},
    doi = {ijscomp.2020.58.69},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2020.58.69},
    author = {I.O.,T.M. and},
    keywords = {Career path,fuzzy logic,decision support system,fuzzy K-nearest neighbor,undesirable},
    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.}
    }