This research demonstrates a fuzzy inference system improves recruitment efficiency for corrosion engineer candidates, indicating a more objective approach.
Recruitment is a crucial factor that organizations consider while seeking the most appropriate candidates, hence requiring a balance between equity and efficiency. This research concentrates on constructing a fuzzy inference system (FIS) appropriate for the recruitment of corrosion engineers at Idemitsu Sdn. Bhd. It is intended that the FIS be used to reduce subjectivity and complexity in assessing the candidate by utilizing fuzzy logic principles. Academic qualifications, certifications, industry experience, and skills were among the key criteria transformed into homogenized inputs for the system. MATLAB Application Designer tools were developed to translate the FIS into an operational format. MATLAB Application Designer was also used for real-time evaluation of prospects and immediately produced an acceptance or rejection decision based on its suitability score. This study demonstrates that implementing FIS provides significant benefits by making the recruitment process more objective, consistent, and efficient.
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Ahmad et al. (2026) studied this question.
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