9th Joint International Conference on Information Sciences (JCIS-06)

A Realistic Personnel Selection Tool Based on Fuzzy Data Mining Method

Authors
Wei-Shen Tai 0, Chung-Chian Hsu
Corresponding author
Wei-Shen Tai
0National Yunlin University of Science and Technology
DOI
https://doi.org/10.2991/jcis.2006.46How to use a DOI?
Keywords
Human Resource Management (HRM), Recruitment, Personnel selection, Fuzzy Data mining.
Abstract
Recruitment is an important issue of human resource management (HRM). The main purpose of recruitment is to obtain talent from internal and external of organization. However, excellent talent maybe will be missed at the pre-screening process under lack of complete information for managers to judge. In this paper, a personnel selection tool based on fuzzy data mining method is proposed to assist business managers to find eligible talent more efficiently.
Copyright
© The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/
Open Access | Under Creative Commons license CC BY-NC 4.0

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@inproceedings{Tai2006,
  title={A Realistic Personnel Selection Tool Based on Fuzzy Data Mining Method},
  author={Tai, Wei-Shen and Hsu, Chung-Chian},
  year={2006},
  booktitle={9th Joint International Conference on Information Sciences (JCIS-06)},
  issn={1951-6851},
  isbn={978-90-78677-01-7},
  url={http://dx.doi.org/10.2991/jcis.2006.46},
  doi={10.2991/jcis.2006.46},
  publisher={Atlantis Press}
}
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