A fuzzy expert system (FES) tool for online personnel recruitments
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Cited by:
- 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.
- Jorge Martinez-Gil, 2014. "An Overview of Knowledge Management Techniques for e-Recruitment," Post-Print hal-01692069, HAL.
- 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.
- 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.
- 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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Keywords
online job recruitment; electronic recruitment; e-recruitment; fuzzy logic; fuzzy expert systems; personnel selection; performance evaluation; job applications; submission portals; human resource management; HRM; internet; world wide web; professional qualifications; academic qualifications; qualified applicants; employer requirements; credential ranking; job suitability; candidate selection process; performance evaluation; Nigeria.;All these keywords.
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