
Recruiting the best candidates has become a significant challenge for Human Resources (HR) departments due to the competitive job market and the stringent guidelines and standards they adhere to. In the Information Technology (IT) industry, where technical skills are crucial, this challenge becomes even more daunting. In this article, we propose a fuzzy logic-based recruitment system to support HR departments in making more nuanced and informed decisions. Our proposed system considers several factors, including education, experience, technical abilities, and interpersonal skills, to identify the most suitable candidate for an IT role. We present a systematic approach for incorporating the fuzzy logic controller into the recruitment process, which will offer HR managers clear recommendations based on precise calculations. By leveraging this framework, HR departments can achieve better decision-making outcomes, ultimately resulting in successful recruitment processes.
Fuzzy Logic; Fuzzy interference System (FIS); IT Recruitment; Decision Making.
Fuzzy Logic; Fuzzy interference System (FIS); IT Recruitment; Decision Making.
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