Fuzzy-based intelligent shortlisting process for human resource job recruitment procedures

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

International Journal of Engineering and Technology(UAE)

Volume

7

Issue

4

First Page

229

Last Page

233

Publication Date

1-1-2018

Abstract

A fuzzy-based approach is used to simplify the process of shortlisting large number of job applications by systematically ranking individual applications primary according to their educational background, number of years of experience, and skill competencies that will match the employment position being offered. The proposed algorithm gives a full correlation of the applicant's qualifications and to the job requirement of the company. Three important outputs are delivered by this intelligent algorithm such as the naïve qualifier, job match and the final shortlist score. The naïve qualifier gives a score that balances the educational attainment and the number of years of experience of the applicant. The job match score matches the competency or current job level of the applicant to the job level being offered. And lastly, the intelligent shortlist score which is the overall score that balances all the qualifications of an applicant such as educational attainment, years of experience and current job level. Results showed that the proposed algorithm can quantitatively analyze individual qualifications and rank the applicants effectively. The proposed algorithm will be used in the first stage of the recruitment process dealing with large number of applicants for shortlisting purposes. © 2019 Authors.

html

Digitial Object Identifier (DOI)

10.14419/ijet.v8i1.6.25645

Disciplines

Electrical and Electronics | Systems and Communications

Keywords

Fuzzy logic; Employees—Recruiting; Intelligent agents (Computer software)

Upload File

wf_no

This document is currently not available here.

Share

COinS