• DocumentCode
    3023134
  • Title

    Multi-level Grey Evaluation for Competence of Knowledge Worker

  • Author

    Liu Jingfang ; Zou Ping ; Zhang Pengzhu ; Jia Zhaoqing

  • Author_Institution
    Manage. & Econ. Coll., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    4
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    219
  • Lastpage
    223
  • Abstract
    The evaluation of knowledge worker´s competence has a lot of uncertainties and incompleteness, it cannot be estimated by an exact numerical value, and it is affected by subjective preference, so the evaluation becomes more difficult. In this paper, we proposed an evaluation method based on analytic hierarchy process (AHP) and grey system theory to deal with the evaluation the competence of knowledge worker under an uncertain environment. At first, the indices system is constructed on the competence of knowledge worker. Then the process of multi-level grey evaluation method is established to evaluate the competence of knowledge worker. At last an example illustrates that the multi-level grey evaluation method is simple and effective. Practice has shown that we can get a good affection by using the multi-level grey evaluation method.
  • Keywords
    behavioural sciences; grey systems; human factors; analytic hierarchy process; exact numerical value; knowledge worker competence; multilevel grey evaluation method; Artificial intelligence; Computational intelligence; Conference management; Decision making; Educational institutions; Environmental economics; Information analysis; Knowledge management; Technology management; Uncertainty; analytic hierarchy process (AHP); competence; evaluation; grey system theory; knowledge worker;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.216
  • Filename
    5376378