摘要
针对雷达装备测试性评估这一不确定性、多属性决策问题,依据装备特点和测试性要求,构建了雷达装备测试性评估指标体系。采用改进的模糊层次分析法(fuzzy analytical hierarchy process,FAHP)和熵权法对评估指标进行主客观赋权。在评估模型中使用相对熵替换逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)的欧式距离,同时引入秩和比法(rank-sum ratio,RSR),利用改进的TOPSIS-RSR法对备选方案进行测试性优劣等级分档并排序,通过实例分析验证了该模型的有效性。
Aiming at the uncertain and multi-attribute decision making problem of radar equipment testability evaluation,a radar equipment testability evaluation index system is constructed according to equipment characteristics and testability requirements.The improved fuzzy analytical hierarchy process(FAHP)and entropy weight method are used to assign subjective and objective weights to the evaluation indexes.In the evaluation model,the relative entropy is used to replace the Euclidean distance of the technique for order preference by similarity to ideal solution method(TOPSIS),and the rank-sum ratio method(RSR)is introduced.The improved TOPSIS-RSR method is used to grade and rank the testability of the alternatives,and the effectiveness of the model is verified by an example analysis.
作者
陈佳君
胡冰
施端阳
杨丽佳
CHEN Jiajun;HU Bing;SHI Duanyang;YANG Lijia(Air Force Early Warning Academy,Wuhan 430019,China;Shiyan Branch of Hubei Provincial Corps of the Chinese People's Armed Police Force,Shiyan 442000,China;PLA 95174 Troops,Wuhan 430040,China;Guizhou Engineering Vocational College,Tongren 554300,China)
出处
《现代防御技术》
北大核心
2024年第5期162-172,共11页
Modern Defence Technology
关键词
雷达装备
测试性
模糊层次分析法
逼近理想解排序法
秩和比
评估
radar equipment
testability
fuzzy analytical hierarchy process(FAHP)
technique for order preference by similarity to an ideal solution(TOPSIS)
rank-sum ratio(RSR)
evaluation