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基于Vague集加权距离的空中目标类型判别方法 被引量:1

Type Recognition of the Aerial Target Method Based on Vague Sets Weighted Distance
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摘要 针对已有空中目标类型判别方法存在的不足,提出一种基于Vague集的类型判别新方法。给出了目标类型参数权值计算方法,有效避免了传统的方法造成的主观偏差。根据空中目标类型划分标准,应用Vague集多属性模糊决策理论,构造了Vague集加权距离函数,建立了基于Vague集的空中目标类型判别模型。最后通过实例分析验证,该方法判别结果准确,对科学决策具有一定的参考价值。 Considering the proposed aerial targets type recognition is not fully ideal,a new method of aerial targets type recognition based on vague sets is presented.Weight calculation of targets type characteristic parameter is offered,which can avoid subjective deviation resulted from expert evaluation method availably.Based on aerial targets type recognition standard,a weighted Vague distance function and mathematical model of aerial targets type recognition are established by multiple-attribute fuzzy decision theories.Finally,via an example,the result of the method is proved to be correct.The proposed method is valuable for the commander’s decision making.
作者 宋宝军 冯卉 SONG Bao-jun;FENG Hui(AFEU,Air and Missile Defense College,Shaanxi Xi′an 710051,China)
出处 《现代防御技术》 2020年第4期29-33,共5页 Modern Defence Technology
关键词 VAGUE集 加权距离 多属性模糊决策 空中目标 类型判别 Vague set weighted distance multi-attribute fuzzy decision making aerial targets type recognition
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