• DocumentCode
    2745454
  • Title

    Study of Ensemble Model for Knowledge Management

  • Author

    Yonghui, Cao

  • Author_Institution
    Sch. of Econ. & Manage., Henan Inst. of Sci. & Technol., Xinxiang, China
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    33
  • Lastpage
    36
  • Abstract
    While general management is concerned with physical and human resources, knowledge management (KM) refers to the allocation of knowledge assets as a means to improve organizational processes. KM approaches include the resources, methods, and instruments to deliver KM goals. KM goals are usually described in terms of knowledge assets. Due to the nature of knowledge assets, organizational processes tend to improve as knowledge assets are shared and leveraged among organizational members. At the same time, knowledge of people is subjective, ambiguous, and vague in addition to circumstantial. To deal with these properties, in this paper, we are developing the ensemble modeling technique, which provides the tendency of people´s opinions and at the same time their diversity. Finally, we also draw conclusions.
  • Keywords
    knowledge management; organisational aspects; ensemble modeling technique; knowledge assets; knowledge management; organizational processes; Artificial intelligence; Context modeling; Cultural differences; Data analysis; Fuzzy logic; Humans; Information science; Information technology; Knowledge management; Mathematical model; fuzzy linear regression; knowledge management; mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3661-3
  • Type

    conf

  • DOI
    10.1109/ECBI.2009.126
  • Filename
    5189479