Data Mining Approaches in Manpower Evaluation

Jun Meng; Xiao  Chen; Tian Yu Zhu; Yang Yang Pan

doi:10.4028/www.scientific.net/AMM.513-517.750

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Data Mining Approaches in Manpower Evaluation

Data Mining Approaches in Manpower Evaluation

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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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

750-753

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.750

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Online since:

February 2014

Authors:

Jun Meng*, Xiao Chen, Tian Yu Zhu, Yang Yang Pan

Keywords:

Ability, Distance-Based, Fuzzy Clustering, Manpower Evaluation, Post

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