• DocumentCode
    2252312
  • Title

    Battle damage level prediction on Fuzzy theory and Bayesian method

  • Author

    Xia, Chen ; Lin, Li ; Dong, Liu

  • Author_Institution
    Shenyang Aerosp. Univ., Shenyang, China
  • fYear
    2011
  • fDate
    17-19 Sept. 2011
  • Firstpage
    295
  • Lastpage
    298
  • Abstract
    In the actual war, battle damage assessment and prediction problem is an important research topic. Grasping the enemy´s information is one of the basis on our forces´ war resource allocation. The main problem of this paper is battle damage level prediction, and the model of target damage level prediction based on Fuzzy theory and Bayesian method is established. First, Fuzzy theory and Bayesian method is described. Then, the conception of damage reflect factor is presented and Fuzzy theory and Bayesian method are adopted in the model. Finally, example calculations are given to demonstrating the effectiveness and accuracy of this method. The method of target damage level prediction based on Fuzzy theory and Bayesian method is given according to the comprehensive analysis of the target information.
  • Keywords
    Bayes methods; fuzzy set theory; military systems; Bayesian method; battle damage assessment; battle damage level prediction; fuzzy theory; war resource allocation; Automation; Conferences; Decision support systems; Mechatronics; Random access memory; Robots; BDA; Bayesian; Fuzzy; damage reflect factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation and Mechatronics (RAM), 2011 IEEE Conference on
  • Conference_Location
    Qingdao
  • ISSN
    2158-2181
  • Print_ISBN
    978-1-61284-252-3
  • Type

    conf

  • DOI
    10.1109/RAMECH.2011.6070499
  • Filename
    6070499