基于不对称贴近度的雷达站情报质量评价

Renzheng Liu, Kangsheng Tian, Hao Li, Shanchao Yang, Feng-Zeng Liu
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引用次数: 0

摘要

针对雷达站情报质量模糊综合评价在实际训练中的局限性,提出了一种基于不对称贴近度理论的雷达站情报质量综合评价方法。首先,对雷达站智能质量评估的评价指标进行了整合和细化,分为6类:、及时性、准确性、可用性、客观性和连续性等,然后选择相应的评估模型,其中因子集?建立了权重集和评论集。在此基础上,对最大隶属度法、欧几里得贴近度法和非对称贴近度法进行对比分析,对雷达站的情报质量进行综合评价。结果表明,不对称接近度法对某一雷达情报质量进行综合评价更为有效,有助于找出决定雷达情报质量的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality Evaluation of Radar Station Intelligence Based on Asymmetrical Closeness Degree
Aiming at the limits of fuzzy comprehensive evaluation on quality of radar station intelligence in actual training, a method of qual-ity comprehensive evaluation on radar station intelligence based on the theory of asymmetric closeness degree is presented in this paper. First, the evaluating metrics of quality evaluation on radar station intelligence are integrated and refined for six classes?i.e., timeliness, accuracy, availability, objectivity and continuity and so on, and then the corresponding assessing model is selected, for which the factor set?weight set, and comment set are established. Furthermore, compare analysis is used between the maximum membership degree, the Euclidean closeness degree and the asymmetric closeness degree method, to comprehensively evalu-ate the intelligence quality of the radar station. It shows that the asymmetric closeness degree method is more effective to take comprehensive evaluations of a certain quality of radar intelli-gence, and helpful for finding out the factors that determine the quality of the radar intelligence.
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