摘要
针对现有目标威胁评估方法将指标信息归一化处理,致使指标信息损失进而导致评估结果稳定性差的问题,提出面向空战目标态势威胁评估的改进二元语义云评估模型。首先,通过改进二元语义模型将仅包含物理信息的指标数值转换为信息丰富的二元语义评价值;其次,结合云模型求取相应的二元语义云变量及云权重;最后,利用云聚合算子生成聚合云,对目标威胁度进行排序。实验结果表明,该方法能够有效地对目标进行威胁评估且具有良好的鲁棒性。
In order to solve the problem that the existing target threat assessment methods normalize the target information,which causes the loss of target information and then leads to the poor stability of assessment results,an improved two-tuple semantic cloud assessment model for air combat target situation threat assessment is proposed.First of all,by improving the two-tuple semantic model,the index values which only contain physical information is transformed into the information-rich two-tuple semantic evaluation values;Secondly,the corresponding two-tuple semantic cloud variables and the cloud weight are obtained by combining the cloud model;Finally,the aggregation cloud is generated by cloud aggregation operator,and the threat degree of targets is sorted.The experimental results show that the method can effectively evaluate the threat of the target and has strong robustness.
作者
吕红亮
杨风暴
吉琳娜
翟翔宇
姚亚宁
Lv Hongliang;Yang Fengbao;Ji Linna;Zhai Xiangyu;Yao Yaning(School of Information and Communication Engineering,North University of China,Taiyuan 030051,China)
出处
《国外电子测量技术》
2019年第12期21-26,共6页
Foreign Electronic Measurement Technology
基金
国家自然科学基金项目（61702465）
中北大学研究生科技立项项目（20181532）资助
关键词
威胁评估
改进二元语义模型
云模型
云聚合算子
threat assessm ent
two-tuple semantic
cloud model
cloud aggregation operator
