Unmanned aerial vehicle (UAV) swarm cooperative situation perception consensus plays a key role in swarm cooperative combat obtaining information superiority. A consensus evaluation method of swarm cooperative situation perception via intervalnumber Heronian operators with variable weights is given to analyze the situation perception consensus under different combat simulation conditions. Firstly, combined with the pursuits of swarm cooperative engagement, the swarm cooperative situation perception consensus analysis indexes are built from the completeness, correctness, and so on. Then, combined with the uncertainty of multiperiod data, the nonlinear dispose decision matrix and the variable weights are obtained. Finally, combined with the indexes relevance, the index data are aggregated by intervalnumber weighted Heronian mean operators, which could represent the situation perception consensus. The results show that the indexes and method could effectively analyze the swarm cooperative situation perception consensus.