• DocumentCode
    2842428
  • Title

    Target damage rank assessment based on Dynamic Bayesian Network

  • Author

    Huang, Yanyan ; Li, Hang ; Ji, Weiwei

  • Author_Institution
    Sch. of Autom., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    3644
  • Lastpage
    3649
  • Abstract
    Target damage rank assessment (TDR) is an important part of the direction decision-making for the C3I system, and the fast and effective damage assessment for the target is the main basis for judging the necessity of continuous target attacking. A method of the target damage rank assessment based on the Dynamic Bayesian Network (DBN) is used to evaluate the operational situation in this paper. As an example, the operational weapon equipment is analyzed by this method, and the results show the method feasible.
  • Keywords
    belief networks; command and control systems; weapons; C3I system; direction decision-making; dynamic Bayesian network; operational weapon equipment; target damage rank assessment; Automation; Bayesian methods; Decision making; Inference algorithms; Modeling; Network topology; Probes; Reconnaissance; Uncertainty; Weapons; Characteristic Parameter; Dynamic Bayesian Network; Target Damage Rank Assessment; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498510
  • Filename
    5498510
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2842428