Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

Data mining Approaches in Manpower Evaluation

Authors
Jun Meng, Xiao Chen, Tianyu Zhu, Yangyang Pan
Corresponding Author
Jun Meng
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.115How to use a DOI?
Keywords
manpower evaluation, fuzzy clustering, distance-based, ability, post
Abstract
Manpower allocation determines the competence of the companies. Scientific manpower allocation calls for accurate evaluation on the abilities that the employees have for the posts. In this paper, we first present a general fuzzy clustering model for manpower evaluation for companies. To verify the approach, a new distance-based evaluation model is also presented. Simulation results demonstrated the accuracy of our research.
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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
DOI
https://doi.org/10.2991/iccsee.2013.115How 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  - Jun Meng
AU  - Xiao Chen
AU  - Tianyu Zhu
AU  - Yangyang Pan
PY  - 2013/03
DA  - 2013/03
TI  - Data mining Approaches in Manpower Evaluation
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccsee.2013.115
DO  - https://doi.org/10.2991/iccsee.2013.115
ID  - Meng2013/03
ER  -