CAJ | 학술논문

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。
재초시거공전중획취적원시수거신식상상병불정학차포함불완비신식，이차현유방법불능반영전궤궤동대태세적영향，조성결책결과적가신도불고，대차제출기우구간집대분석（set pair analysis，SPA）적초시거공전태세평고방법。이용증거이론험증집대분석처리구간수다속성결책문제적가행성；장전궤궤동융입태세평고함수，선취재일정시간활아궤동전후적전장태세구성구간수결책구진；이용집대분석이론파구간치전화성련계수진행평고，병용입자군（particle swarm optimization，PSO）산법대태세요소권중진행심우。경험증，해방법재일정정도상제고료태세평고적진실성。
The raw data acquired in beyond-visual-range (BVR)air combat is not accurate and contains in-complete 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 situa-tion 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 peri-od 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.