Data mining Approaches in Manpower Evaluation

DOI

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.

Copyright

© 2013, 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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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 (ICCSEE 2013)
PB  - Atlantis Press
SP  - 447
EP  - 449
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.115
DO  - 10.2991/iccsee.2013.115
ID  - Meng2013/03
ER  -