• DocumentCode
    506758
  • Title

    Research on unascertained-measure-based tactics decision of air-to-ground multi-target combat

  • Author

    Lu Hua ; Zhou De-yun ; Zhang Kun

  • Author_Institution
    Dept. of Electron. Inf., Northwestern Polytech. Univ., Xian, China
  • Volume
    2
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    In the air-to-ground multi-target combat, the target attack order is of great importance to the efficient assignment of weapon resources. In accordance with the characteristics of multiple attribute decision and the threat assessment, a model for assessing targets´ threat degree in air-to-ground multi-target attack is established based on the theory of unascertained measure. The targets´ threat degree can be evaluated and obtained with the help of this model. Then the attack decision-making process is studied utilizing the theory of grey associative analysis, based on which a model for air-to-ground multi-target attack decision-making is established. This model transfers the decision-making problem to the solution of the attack value at multi-target, so the target attack sequence can be obtained through solving this model. Finally the availability and effectiveness of this model have been proved by simulation results, providing an effective decision-making method for air-to-ground multi-target combat.
  • Keywords
    decision making; military systems; air-to-ground multi-target attack decision-making; air-to-ground multi-target combat; decision-making process; grey associative analysis; multiple attribute decision; target attack order; threat assessment; unascertained-measure-based tactics decision; Algorithm design and analysis; Azimuth; Decision making; Information analysis; Intelligent systems; Interference; Power measurement; Uncertainty; Weapons; decision system; multi-target attack; threat assessment; unascertained measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358259
  • Filename
    5358259