• DocumentCode
    3023635
  • Title

    Evaluate the Personnel Training Effect of Electric Power Enterprise Based on AHP-FUZZY Approach

  • Author

    Hong, Qiao ; Dong Xue-chen ; Yu Jin-long

  • Author_Institution
    Bus. Sch., Agric. of Hebei Univ., Baoding, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    638
  • Lastpage
    641
  • Abstract
    Human resources are the primary resources of an enterprise. Personnel training can cultivate core competence and achieve the success. In view of the existing fuzziness and randomness in the training effect comprehensive evaluation, an index system, which comprises the first class indices such as training condition, training management and training effect, was put forward; and then a two stage fuzzy assessment model for training effect evaluation was established by applying the theory of fuzzy mathematics. The concept of AHP model was also used so as to obtain the objective weight of each index and avoid subjective effect. This method not only improves the scientificalness and objectivity on training effect evaluation by quantitative computation, which provides theoretical basis for making a clearer training aim and further improvement on training quality.
  • Keywords
    decision making; fuzzy set theory; personnel; power markets; training; AHP-fuzzy approach; electric power enterprise; fuzzy assessment model; fuzzy mathematics; human resources; index system; personnel training effect evaluation; training management; Agriculture; Databases; Energy management; Fuzzy systems; Investments; Management training; Mathematical model; Personnel; Power generation economics; Technology management; AHP; FUZZY; comprehensive evaluation; electricity enterprises; training effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Technology and Applications, 2009 First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3604-0
  • Type

    conf

  • DOI
    10.1109/DBTA.2009.69
  • Filename
    5207678