首页 | 本学科首页   官方微博 | 高级检索  
     

基于专家知识属性重要度的集群目标威胁评估方法
引用本文: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[J]. 兵工学报, 2009, 30(10): 1357-1362
作者姓名:黄大荣  郭安学  李云生  徐红兵  霍勇谋
作者单位:1.重庆交通大学光电及信息技术研究所,重庆400074;2.西北机电工程研究所,陕西咸阳712099;3.电子科技大学自动化学院,四川成都610054
基金项目:中国国家博士后科学基金,重庆市自然科学基金,重庆市教委科学技术研究项目,重庆交通大学博士启动基金 
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。

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  

An Object-Group Threat Assessment Method Based on Attribute Significance of Multi-Field Expert Systems
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[J]. Acta Armamentarii, 2009, 30(10): 1357-1362
Authors:HUANG Da-rong      GUO An-xue  LI Yun-sheng  XU Hong-bing  HUO Yong-mou
Affiliation:1. Institute of Optoelectronic and Information Technology, Chongqing Jiaotong University,Chongqing 400074,China;2. Northwest Institute of Mechanical and Electrical Engineering, Xianyang 712099, Sichuan, China;3. College of automation, University of Electronic Science and Technology of China, Chengdu 6100D4, Sichuan, China
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 m...
Keywords:system engineering  object-group  threat assessment  attribute significance  expert system  integrated technology  
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《兵工学报》浏览原始摘要信息
点击此处可从《兵工学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号