田康生1,
彭富强1,
李浩1
1.空军预警学院 ??武汉 ??430019
2.火箭军指挥学院 ??武汉 ??430012
详细信息
作者简介:刘仁争：男，1980年生，博士生，讲师，研究方向为雷达资源管理、雷达情报分析
田康生：男，1963年生，教授，博士生导师，主要研究方向为雷达资源管理、数据融合
彭富强：男，1982年生，博士，讲师，主要研究方向为雷达情报处理、雷达组网
李浩：男，1982年生，博士，讲师，主要研究方向为雷达情报分析、数据融合
通讯作者:刘仁争 35565426@qq.com
中图分类号:TN956计量
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被引次数:0
出版历程
收稿日期:2018-01-26
修回日期:2018-10-16
网络出版日期:2018-10-22
刊出日期:2019-01-01
Quality Analysis of Early Warning Radar Intelligence Based on Asymmetrical Proximity
Renzheng LIU1, 2,,,Kangsheng TIAN1,
Fuqiang PENG1,
Hao LI1
1. Air Force Early Warning Academy, Wuhan 430019, China
2. Rocket Force Command College, Wuhan 430012, China
摘要
摘要:针对预警雷达情报质量评估中，模糊因素影响评估有效性的问题，该文提出一种基于非对称贴近度的预警雷达情报质量分析评估方法。分析预警雷达情报获取、传输和作战运用环境特点，从及时性、准确性、完整性、连续性和客观性等6个方面构建其质量评估指标体系，进而建立因素集、评语集和权重集，利用非对称贴近度对其进行模糊综合评估。该研究方法和结论可有效分析评判预警雷达情报质量，也能帮助发现影响情报质量优劣的瓶颈与短板，还可为解决复杂作战环境下预警雷达情报质量评估与分析等问题研究提供一定借鉴。
关键词:预警雷达/
情报质量/
模糊综合评判/
非对称贴近度
Abstract:Considering the limits of fuzzy comprehensive evaluation on quality of early warning radar intelligence in actual training, a method of quality evaluation on radar intelligence based on the theory of asymmetric proximity and multilevel fuzzy comprehensive evaluation is proposed. Through the analysis of the producing, transmission, using environmental factors of early warning radar intelligence, the evaluating metric of quality evaluation on radar intelligence integrated for six classes, that are timely, accuracy, completeness, continuity, objectiveness and so on, and then factor set, weight set, and comment set are established, and the quality of the radar intelligence based on the asymmetric proximity with the fuzzy comprehensive evaluation is carried out. This researching methods and results not only can take comprehensive evaluations of a certain quality of radar intelligence, help for finding out the factors to determine the quality of the radar intelligence, but also can fight for providing certain reference to solve complex environment of radar intelligence of operational effectiveness evaluation problem.
Key words:Early warning radar/
Quality of intelligence/
Fuzzy comprehensive evaluation/
Asymmetrical proximity
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