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Article . 2023
License: CC BY NC
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY NC
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY NC
Data sources: Datacite
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Fuzzy Logic-based Recruitment System: An Innovative Solution for HR Departments

Authors: Waseem M. Alhasan; Majid J. Ali; Weaam Y. Abo Shdeed;

Fuzzy Logic-based Recruitment System: An Innovative Solution for HR Departments

Abstract

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.

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Keywords

Fuzzy Logic; Fuzzy interference System (FIS); IT Recruitment; Decision Making.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average