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Research on Comprehensive Evaluation of Power Generation Enterprise Human Resource

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Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 111))

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Abstract

Most of the traditional human resource evaluations are applied to individual employees. The study object in this paper is the general state of human resources of power generation enterprise. According to the feature and actual situation of the study object, this paper established the evaluation indicator system of power generation enterprise human resource by using Delphi method. Based on the theory of fuzzy mathematics, combined with AHP and Delphi method, the multi-level fuzzy comprehensive evaluation model was established. Through the empirical study on a 330MW power plant, it indicated that using this research method can acquaint the status of human resources accurately and efficiently.

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References

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Author information

Authors and Affiliations

  1. School of Business Administration, North China Electric Power University, Beijing, China

    Li Xin, Niu Dong-xiao, Zhou Ping & Liu Jin-peng

Authors
  1. Li Xin
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  2. Niu Dong-xiao
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  3. Zhou Ping
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  4. Liu Jin-peng
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Editor information

Editors and Affiliations

  1. South China Normal University , Yifeng Dasha Building C 1707, Huang Pu Da Dao Zhong, Cui Yuan Jie 8, Tian He Qu, 510000, Guangzhou, China

    Liangzhong Jiang

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Xin, L., Dong-xiao, N., Ping, Z., Jin-peng, L. (2011). Research on Comprehensive Evaluation of Power Generation Enterprise Human Resource. In: Jiang, L. (eds) Proceedings of the 2011, International Conference on Informatics, Cybernetics, and Computer Engineering (ICCE2011) November 19–20, 2011, Melbourne, Australia. Advances in Intelligent and Soft Computing, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25188-7_13

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  • DOI: https://doi.org/10.1007/978-3-642-25188-7_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25187-0

  • Online ISBN: 978-3-642-25188-7

  • eBook Packages: EngineeringEngineering (R0)

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