基于专家知识属性重要度的集群目标威胁评估方法

黄大荣;郭安学;李云生;徐红兵;霍勇谋

兵工学报 ›› 2009, Vol. 30 ›› Issue (10) : 1357-1362.

兵工学报 ›› 2009, Vol. 30 ›› Issue (10) : 1357-1362. DOI: 10.3969/j.issn.1000-1093.2009.10.015
论文

基于专家知识属性重要度的集群目标威胁评估方法

  • 黄大荣1,2,3,郭安学2,李云生2,徐红兵3,霍勇谋2
作者信息 +

An Object-Group Threat Assessment Method Based on Attribute Significance of Multi-Field Expert Systems

  • HUANG Da-rong1,2,3, GUO An-xue2, LI Yun-sheng2,XU Hong-bing3,HUO Yong-mou2
Author information +
文章历史 +

摘要

结合计算机网络和专家知识库集成技术,研究了集群目标威胁评估的一类新方法。首先,在给出多领域专家知识集成评估系统定义和集群目标威胁度赋值规则的基础上,结合统计方法和历史数据库建立专家知识属性重要度模型;然后,提出了该集成评估系统的运行规则,并结合多领域专家知识集成技术,构造了集群目标威胁评估的网络化评估系统;最后,仿真实验验证了系统的有效性和合理性。该系统成功应用于型号武器系统的实际工程卖例表明,这种评估方法具有良好的更新能力和应用前景。

Abstract

A new method of threat assessment to object-group was researched by combining computer network with integrated technology of experts’ database. The attribute significance model of experts’ database was presented by combining integrated system of multi-field experts and assignment rule of threat degree of object-group with statistical method and historical database; the network evaluation system used for evaluating object-group threat was constructed by the proposed operation rule of the system combined with multi-fieid experts knowledge intergrated technology; the simulation used for e- valuating object-group threat was performed by a certain type gun-missile intergrated air defense sys?tem ? The simulated results show that the evaluation method has better updating capability and applied prospect.

关键词

系统工程 / 集群目标 / 威胁评估 / 属性重要度 / 专家系统 / 集成技术

Key words

system engineering / object-group / threat assessment / attribute significance / expert sys?tem / integrated technology

引用本文

导出引用
黄大荣,郭安学,李云生,徐红兵,霍勇谋. 基于专家知识属性重要度的集群目标威胁评估方法. 兵工学报. 2009, 30(10): 1357-1362 https://doi.org/10.3969/j.issn.1000-1093.2009.10.015
HUANG Da-rong, GUO An-xue, LI Yun-sheng,XU Hong-bing,HUO Yong-mou. An Object-Group Threat Assessment Method Based on Attribute Significance of Multi-Field Expert Systems. Acta Armamentarii. 2009, 30(10): 1357-1362 https://doi.org/10.3969/j.issn.1000-1093.2009.10.015

基金

中国国家博士后科学基金(20060401018);重庆市自然科学基金(2006BB242,2);重庆市教委科学技术研究项目(KJ060414);重庆交通大学博士启动基金(07-01-12)

参考文献

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