• DocumentCode
    3075637
  • Title

    Intelligent Decision-making Modeling Based on Object-Oriented Bayesian Network

  • Author

    Liu, Hai-yan ; Shi, Zhi-fu ; Han, Rui ; Zhu, Yin-sheng

  • Author_Institution
    Second Artillery Eng. Coll., Xi´´an, China
  • Volume
    4
  • fYear
    2010
  • fDate
    4-6 June 2010
  • Firstpage
    300
  • Lastpage
    303
  • Abstract
    The object-oriented bayesian networks (OOBN) is prone to simulate for complex system, the model can be reused and the reasoning algorithm fully consider the encapsulation and hierarchy. Toward to the complexity of decision-making, distribution of knowledge and the hierarchy of the decision-making process, the method of unmanned combat air vehicle teams (UCAV) air-to-ground attack decision-making based on OOBN has been put forward. The modeling process base on OOBN has been given out. The method can establish the OOBN structure of complex system through analysis the causality between decision-making object and decision-making factors. It can be used to modeling and simulation for complex system after the probability parameter was given out. The application was been explained by a simulation example in the end.
  • Keywords
    belief networks; decision making; inference mechanisms; large-scale systems; object-oriented methods; remotely operated vehicles; complex system; intelligent decision making modeling; knowledge distribution; object oriented Bayesian network; probability parameter; reasoning algorithm; unmanned combat air vehicle team; Bayesian methods; Competitive intelligence; Computer networks; Decision making; Inference algorithms; Intelligent networks; Object oriented modeling; Probability; Uncertainty; Vehicles; Object-oriented Bayesian network; tactics decision-making; unmanned combat air vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing (ICIC), 2010 Third International Conference on
  • Conference_Location
    Wuxi, Jiang Su
  • Print_ISBN
    978-1-4244-7081-5
  • Electronic_ISBN
    978-1-4244-7082-2
  • Type

    conf

  • DOI
    10.1109/ICIC.2010.347
  • Filename
    5514079