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
Available Online October 2006.
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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.46How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wei-Shen Tai
AU  - Chung-Chian Hsu
PY  - 2006/10
DA  - 2006/10
TI  - A Realistic Personnel Selection Tool Based on Fuzzy Data Mining Method
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.46
DO  - https://doi.org/10.2991/jcis.2006.46
ID  - Tai2006/10
ER  -