The job openings for software engineers are growing significantly along with rapid technological development. Recruiting software engineers in an effective and efficient manner has become a crucial topic in the business domain. Making recruitment decisions is a complex process, as multiple aspects define a good-fit candidate. The hiring personnel are required to gather and act based on complex, multi-dimensional data. The currently proposed solutions are lacking in the concern of approximating technical skills from multiple input variables. To overcome the problem, this research proposes a fuzzy logic-based decision support system that aims to assist hiring personnel in making hiring decisions for software engineers. It utilizes hierarchical architecture and introduces a modification to the Mamdani model for a more intuitive and logical output.

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Fuzzy Logic-Based Recruitment for Software Engineering Domain: A Modified Mamdani Model

  • Vazeerudeen Abdul Hameed,
  • Muhammad Ehsan Rana,
  • Sheng Xue Lim,
  • Wei Lun Cheng,
  • Hrudaya Kumar Tripathy

摘要

The job openings for software engineers are growing significantly along with rapid technological development. Recruiting software engineers in an effective and efficient manner has become a crucial topic in the business domain. Making recruitment decisions is a complex process, as multiple aspects define a good-fit candidate. The hiring personnel are required to gather and act based on complex, multi-dimensional data. The currently proposed solutions are lacking in the concern of approximating technical skills from multiple input variables. To overcome the problem, this research proposes a fuzzy logic-based decision support system that aims to assist hiring personnel in making hiring decisions for software engineers. It utilizes hierarchical architecture and introduces a modification to the Mamdani model for a more intuitive and logical output.