Fuzzy inference system for corrosion engineer interview selection: Insights from Idemitsu Sdn. Bhd.

Authors

  • Nur Intan Syafinaz Ahmad Department of Mathematics, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Johor Branch, Pasir Gudang Campus, Malaysia
  • Arina Husna Zulkifli Department of Mathematics, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Negeri Sembilan Branch, Seremban Campus, Malaysia
  • Norbaiti Tukimani Department of Mathematics, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Johor Branch, Pasir Gudang Campus, Malaysia
  • Nur Syamilah Arifin Department of Mathematics, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Johor Branch, Pasir Gudang Campus, Malaysia
  • Wan Munirah Wan Mohamad Department of Mathematics, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Johor Branch, Pasir Gudang Campus, Malaysia
  • Ahmad Khudzairi Khalid Department of Mathematics, College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Johor Branch, Pasir Gudang Campus, Malaysia
  • Nur Saadah Ahmad Idemitsu Sdn Bhd., PLO 408, Jalan Pekeliling, 81700 Pasir Gudang, Johor, Malaysia
  • Yuanita FD Sidabutar Faculty of Engineering Batam, University of Batam, Jl. Uniba No. 5 Batam Center, Kota Batam, Kepulauan Riau 29432, Indonesia

DOI:

https://doi.org/10.15282/daam.v7i1.13043

Keywords:

FIS Corrison Engineer, MATLAB, Application, Designer recruitment

Abstract

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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Published

2026-03-31

Issue

Section

Research Articles

How to Cite

[1]
N. I. S. Ahmad, “Fuzzy inference system for corrosion engineer interview selection: Insights from Idemitsu Sdn. Bhd”., Data Anal. Appl. Math., vol. 7, no. 1, pp. 10–16, Mar. 2026, doi: 10.15282/daam.v7i1.13043.

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