• DocumentCode
    3367583
  • Title

    Research on Quality-Based Data Creditability Evaluating Method in Complex Systems Simulation

  • Author

    Zhang Ying-chao ; Zhang Jing ; Li Wei ; Ye Feng

  • Author_Institution
    Sci. & Technol. on Complex Syst. Simulation Lab., Beijing Inst. of Syst. Eng., Beijing, China
  • fYear
    2012
  • fDate
    15-19 July 2012
  • Firstpage
    193
  • Lastpage
    195
  • Abstract
    Data creditability plays a very important role in the complex system simulation creditability. From the point of how to evaluate and improve the complex system simulation data creditability, the concept of the data quality modeling is advanced and the three-dimension data quality modeling space is founded. Based on which, a multiple attributes decision making theory based data creditability evaluating method is put forward. Taking the joint simulation and experiment as a typical application area, the application of the data creditability evaluating method is discussed initially.
  • Keywords
    credit transactions; data analysis; decision making; attributes decision making theory; complex system simulation; data creditability; data quality modeling; Accuracy; Analytical models; Companies; Data models; Indexes; Stock markets; Vectors; Complex systems simulation; Data creditability; Data quality modeling; Joint simulation and experiment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Principles of Advanced and Distributed Simulation (PADS), 2012 ACM/IEEE/SCS 26th Workshop on
  • Conference_Location
    Zhangjiajie
  • ISSN
    1087-4097
  • Print_ISBN
    978-1-4673-1797-9
  • Type

    conf

  • DOI
    10.1109/PADS.2012.38
  • Filename
    6305911