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A threat assessment method based on cloud model and particle swarm optimization

  • Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2013 25th Chinese Control and Decision Conference, CCDC 2013
Pages3560-3564
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 25th Chinese Control and Decision Conference, CCDC 2013 - Guiyang, China
Duration: 25 May 201327 May 2013

Publication series

Name2013 25th Chinese Control and Decision Conference, CCDC 2013

Conference

Conference2013 25th Chinese Control and Decision Conference, CCDC 2013
Country/TerritoryChina
CityGuiyang
Period25/05/1327/05/13

Keywords

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

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