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A Novel Threat Assessment Model Based on GIFSS for Multi-UAV Air Combat Under Uncertain Information

  • Qian Pan,
  • Peng He,
  • JiaPeng Li,
  • Xiaoyang Li

摘要

The existing multi-UAV cooperative air combat threat assessment models is inadequate to reflect the dynamic threat of the target, uncertain recognition result, and the threat to the whole formation. Aiming at the characteristics of dynamic information involved in air combat decision-making, the intuitive fuzzy soft set is used to describe the situational threat of targets. The generalized factor is used as the uncertain capability of the targets that are not fully identified. Then, a threat assessment method is proposed based on the generalized intuitionistic fuzzy soft set. Moreover, the threat assessment model of the target to formation is established by introducing a virtual UAV. The simulation results show that the proposed method can effectively and reasonably reflect the uncertain information involved in multi-UAV air combat compared with existing methods.