• DocumentCode
    3290779
  • Title

    The Realization of Knowledge Discovery in Total Quality Management System

  • Author

    Wang, Xiaoh

  • Author_Institution
    Key Lab. of Numerical Control ofJiangxi Province, Jiujiang Univ., Jiujiang
  • Volume
    4
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    643
  • Lastpage
    646
  • Abstract
    After introducing the basic conceptions of knowledge discovery (KD) and data mining (DM) in databases and their application in "total quality management" system, a novel "total quality management" knowledge discovery model is proposed. The realization scheme of subsystem in large-scale quality database is also given. The basic thought is to integrate the information of quality control and quality management to primary database, and establish intelligent quality knowledge discovery system and quality evaluation decision system. Such intelligent quality knowledge discovery system can solve the "knowledge bottleneck problem" in expert system and offer the new knowledge for "total quality management" expert system effectively. It can create conditions for realizing real intelligent quality control.
  • Keywords
    data mining; decision support systems; expert systems; intelligent manufacturing systems; quality control; total quality management; very large databases; data mining; expert system; intelligent quality knowledge discovery system; knowledge bottleneck problem; large-scale quality database; quality evaluation decision system; real intelligent quality control; total quality management system; Data mining; Deductive databases; Delta modulation; Expert systems; Intelligent control; Intelligent systems; Large-scale systems; Quality control; Quality management; Total quality management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
  • Conference_Location
    Jinan Shandong
  • Print_ISBN
    978-0-7695-3305-6
  • Type

    conf

  • DOI
    10.1109/FSKD.2008.189
  • Filename
    4666463