• DocumentCode
    176706
  • Title

    The evaluation method of knowledgeable manufacturing system based on knowledge mesh

  • Author

    Yang Ren-zi ; Wang Jing

  • Author_Institution
    Dept. of Math., Southeast Univ., Nanjing, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    3760
  • Lastpage
    3764
  • Abstract
    The evaluation method of knowledgeable manufacturing system is proposed to solve the selection of system caused by the diversity of knowledge mesh. According to the structure and generation of knowledge mesh, the metrics, which are the satisfaction degree of function, the redundancy degree of function, the relative amount of knowledge, the redundancy degree of multiple-number, the order degree and the interested degree of user, are proposed from the quantitative and qualitative aspects. The properties of relative amount of knowledge and redundancy degree of multiple-number are supposed to reveal the operation law. And the redundancy degree of multiple-number can distinguish the same knowledge meshes whose multiple set is different. Order degree is used to measure the rationality of structure. Finally, the metrics are exemplified and shown effectiveness and feasibility.
  • Keywords
    knowledge based systems; manufacturing systems; production engineering computing; evaluation method; knowledge mesh generation; knowledge mesh structure; knowledgeable manufacturing system; order degree; qualitative aspects; quantitative aspects; redundancy degree of function; relative amount of knowledge; satisfaction degree of function; system selection; Accuracy; Entropy; Indexes; Manufacturing systems; Redundancy; Resource description framework; amount of knowledge; knowledge mesh; order degree; perfection degree; redundancy degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852834
  • Filename
    6852834