中文摘要：

在超视距空战中获取的原始数据信息常常并不精确且包含不完备信息,而且现有方法不能反映战机机动对态势的影响,造成决策结果的可信度不高,对此提出基于区间集对分析（set pair analysis,SPA）的超视距空战态势评估方法。利用证据理论验证集对分析处理区间数多属性决策问题的可行性;将战机机动融入态势评估函数,选取在一定时间敌我机动前后的战场态势构成区间数决策矩阵;利用集对分析理论把区间值转化成联系数进行评估,并用粒子群（particle swarm optimization,PSO）算法对态势要素权重进行寻优。经验证,该方法在一定程度上提高了态势评估的真实性。

英文摘要：

The raw data acquired in beyond-visual-range （BVR） air combat is not accurate and contains incomplete information. Existing situation assessment methods cannot reflect the impact of fighter maneuvering, which makes the credibility not reliable. The interval set pair analysis （SPA） is used to handle the BVR situation assessment. The feasibility of SPA handling is analyzed with the evidence theory. The fighter maneuvering is taken into account to construct an interval decision-making matrix by calculating the situation in a certain period of time. The interval numbers are transformed into connection numbers and the weights are optimized with particle swarm optimization （PSO）. It is verified that the authenticity of the situation assessment is improved to a certain extent.