The advent of the internet has facilitated greater access to the myriad of job opportunities available globally. Currently there exist many job application submission portals that are being used for online job recruitment purposes. However, the task of many of these job submission portals is limited to matching the professional and academic qualifications of applicants with the requirements of employers and several organisations and does not involve the ranking of applicants' credentials according to their relative suitability for the jobs applied for. In this paper, we describe the implementation of fuzzy expert system (FES) tool for selection of qualified job applicants with the aim of minimising the rigour and subjectivity associated with the candidate selection process. A performance evaluation of the FES tool that was conducted confirmed the viability of a FES-based approach in handling the fuzziness that is associated with the problem of personnel recruitment. Keywords: online job recruitment; fuzzy logic; fuzzy expert systems; FES; personnel selection; performance evaluation; job application portal; human resource management; HRM; organisation.
REF describe the implementation of a fuzzy expert system (FES) for selecting qualified job applicants with the aim of minimizing the rigor and subjectivity associated with the candidate selection process.
A fuzzy expert system (FES) tool for online personnel recruitments
IJBIS
IJBIS
Computer Science