A Threat Assessment Method Based on Cloud Model and Particle Swarm Optimization

摘要：

　　According to the target threat assessment in battlefield,a threat assessment method based on a combination of membership cloud and particle swarm optimization was proposed.This method can on one hand adjust weights automatically according to the overall distribution of the indexes value by utilizing particle swarm to optimize the weight,and on the other hand,establish a cloud model based on threat sequencing,as to make the assessment process fully take the fuzziness and randomness of threat information into account.Finally,a three-layer index system is built to test the method and the validity and rationality is verified.

关键词： Membership Cloud Particle Swarm Optimization Variable Weight Threat Assessment

作者: LIU Xi-nan PENG Zhi-hong DENG Fang CHEN Jie

作者单位: Beijing Institute of Technology, School of Automation, Beijing 100081, China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 3560-3564

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）