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With the intelligence of the weapon equipment, the swarm of unmanned aerial vehicles (UAV) combat has become the main trend. Under the background of UAV combat, how to evaluate the battlefield situation has become a crucial problem in autonomous decision making. In this paper, the dynamic weight coefficients are introduced to form the dynamic high order fuzzy cognitive maps (DHFCM) on the basis of high order fuzzy cognitive maps (HFCM). The battlefield situation assessment model based on DHFCM is established. The validity and feasibility of the model are verified by simulation experiments. The experimental results show that the situation assessment model can objectively evaluate the battlefield situation in the complex battlefield environment, and provide more decision basis for our commander and decision makers.

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Battlefield Situation Assessment Based on Dynamic High Order Fuzzy Cognitive Maps in Complex Environment

  • 会议论文

  • 发表日期：

    2025年

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  • Hongyi Xiong,
  • Zhong Liu,
  • Junwu Ren,
  • Jian Zhou,
  • Guannan Chang,
  • Jun Chen

摘要

With the intelligence of the weapon equipment, the swarm of unmanned aerial vehicles (UAV) combat has become the main trend. Under the background of UAV combat, how to evaluate the battlefield situation has become a crucial problem in autonomous decision making. In this paper, the dynamic weight coefficients are introduced to form the dynamic high order fuzzy cognitive maps (DHFCM) on the basis of high order fuzzy cognitive maps (HFCM). The battlefield situation assessment model based on DHFCM is established. The validity and feasibility of the model are verified by simulation experiments. The experimental results show that the situation assessment model can objectively evaluate the battlefield situation in the complex battlefield environment, and provide more decision basis for our commander and decision makers.