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

A Realistic Personnel Selection Tool Based on Fuzzy Data Mining Method

Authors
Wei-Shen Tai1, Chung-Chian Hsu
1National Yunlin University of Science and Technology
Corresponding Author
Wei-Shen Tai
Available Online October 2006.
DOI
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
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
Series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
10.2991/jcis.2006.46
ISSN
1951-6851
DOI
10.2991/jcis.2006.46How to use a DOI?
Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 190
EP  - 193
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.46
DO  - 10.2991/jcis.2006.46
ID  - Tai2006/10
ER  -