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A fuzzy expert system (FES) tool for online personnel recruitments

Author

Listed:
  • J.O. Daramola
  • O.O. Oladipupo
  • A.G. Musa

Abstract

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.

Suggested Citation

  • J.O. Daramola & O.O. Oladipupo & A.G. Musa, 2010. "A fuzzy expert system (FES) tool for online personnel recruitments," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 6(4), pages 444-462.
    • Handle: RePEc:ids:ijbisy:v:6:y:2010:i:4:p:444-462
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    Citations

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    Cited by:

    1. Jorge Martinez-Gil, 2014. "An Overview of Knowledge Management Techniques for e-Recruitment," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-9.
    2. Magdalena Graczyk-Kucharska & Robert Olszewski & Gerhard-Wilhelm Weber, 2023. "The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland Region," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(1), pages 205-237, March.
    3. Albérico Travassos Rosário & Joana Carmo Dias & Hélder Ferreira, 2023. "Bibliometric Analysis on the Application of Fuzzy Logic into Marketing Strategy," Businesses, MDPI, vol. 3(3), pages 1-22, July.
    4. Bilal HMOUD & Varallyai LASZLO, 2019. "Will Artificial Intelligence Take Over Humanresources Recruitment And Selection?," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 13, pages 21-30, July.

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