• DocumentCode
    3184676
  • Title

    Peer review expert selection method research based on knowledge set theory

  • Author

    Li, Haifeng ; Chen, Ning

  • Author_Institution
    Sch. of Manage., Dalian Jiaotong Univ., Dalian, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    2248
  • Lastpage
    2251
  • Abstract
    Peer review expert selection is an important link of fund project review; it can not only improve the matching accuracy of domain experts and projects, but also improve the appraisal quality in fund project review. This paper mainly studies the peer review expert selection method in fund project review. With the actual experience of fund project management, based on the author´s knowledge set theory, paper analyzes deeply knowledge set representation of expert knowledge, improves the similarity calculation of expert and project knowledge, builds the peer review expert selection method, and gives the actual example.
  • Keywords
    decision making; expert systems; financial management; knowledge representation; project management; set theory; expert knowledge; fund project management; knowledge set representation; knowledge set theory; peer review expert selection method; Concrete; Correlation; Immune system; Knowledge engineering; Project management; Set theory; XML; fund project review; knowledge set; peer review expert selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6011167
  • Filename
    6011167