• DocumentCode
    535829
  • Title

    Evaluation method for collaboration degree in knowledge collaboration team

  • Author

    Yu, Zhuchao ; Fan, Zhiping

  • Author_Institution
    Sch. of Bus. Adm., Northeastern Univ., Shenyang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    9-10 Oct. 2010
  • Firstpage
    502
  • Lastpage
    505
  • Abstract
    Knowledge collaboration team is an important organization form for knowledge innovation. Its collaboration degree affects the performance of knowledge innovation seriously. This paper firstly explains the concepts and characteristics of knowledge collaboration and knowledge collaboration team, and gives definitions of collaboration relation matrix, collaboration degree matrix and collaboration relation weight matrix for knowledge collaboration team. Then, a method based on 2-tuple linguistic information processing is proposed to evaluate the total collaboration degree of knowledge collaboration team. According to the new 2-tuple linguistic concept, the method processes linguistic evaluation information using with aggregation operators. The obtained evaluation result has important reference value for improving the total collaboration degree of knowledge collaboration team.
  • Keywords
    innovation management; knowledge management; matrix algebra; 2-tuple linguistic information processing; aggregation operators; collaboration degree evaluation method; collaboration degree matrix; collaboration relation matrix; collaboration relation weight matrix; knowledge collaboration team; knowledge innovation; Artificial neural networks; Collaboration; 2-tuple linguistics; collaboration degree; evaluation method; knowledge collaboration team; social network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Technology and Management Engineering (FITME), 2010 International Conference on
  • Conference_Location
    Changzhou
  • Print_ISBN
    978-1-4244-9087-5
  • Type

    conf

  • DOI
    10.1109/FITME.2010.5654833
  • Filename
    5654833