Applicant Recruitment System Using Fuzzy Logic
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.9, No. 8)Publication Date: 2020-08-30
Authors : Zibs Dowell Feremo Woripere; Ledisi G. Kabari;
Page : 1-7
Keywords : Recruitment system; Job recruitment; Fuzzy logic; Hypertext preprocessor; Personnel recruitment;
Abstract
Recruitment in different sectors, especially job recruitment in organizations has been a major concern due to nepotism, tribalism and biasness from the side of interviewing panels which in turn affects the optimal effectiveness of the organization. Application for jobs in various capacity in different companies and organization in recent years is on the increase. This increasing number of applicants has therefore resulted to a very great challenge to recruiting organizations as the need arises to efficiently and effectively recruit or screen this teeming number of applicate. This paper presents an Applicant Recruitment System using fuzzy logic. It focuses on the selection or recruitment of suitable applicants ranking them from the most suitable, using the ministry of works Bayelsa State in Nigeria as case study. We adopted Structured Systems Analysis and Design Methodology. Hypertext preprocessor programming language was used for the implementation of the system. The system developed is a more flexible and reliable automated system in the field of personnel recruitment that will quickly enable personnel managers to easily assess and recruit most suitable applicants for a given job based on some weighted fuzzy scores depending on certain criteria attached to the job applied for and the qualification needed to obtain such position.
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Last modified: 2020-08-10 18:34:35