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

被引：0

作者：

Liu Xi-nan ^{[1
]}

Peng Zhi-hong ^{[1
]}

Deng Fang ^{[1
]}

Chen Jie ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China

来源：

2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年

关键词：

Membership Cloud; Particle Swarm Optimization; Variable Weight; Threat Assessment;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：3560 / 3564

页数：5

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