Method for air combat formation optimization with uncertain information

Zhanwu Li, Deyun Zhou, Xiaozhe Zhao, Haiyan Yang, Linyuan Gui, Yizhe Chang

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

1 Scopus citations

Abstract

For solving the problem of difficulty to select formation with uncertain information of target equipment in air combat condition, a method for formation optimization based on commanders' subjective recognition is proposed. First, combat power of lighter is calculated, which is the basis of evaluation for combat power of target via commanders' subjective recognition. Then the air combat formation is optimized by employing prospect theory and comprehensive fuzzy evaluation. Finally, an application example is set to illustrate the validity and usability of the method proposed.

Original languageEnglish
Title of host publicationProceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1846-1854
Number of pages9
ISBN (Electronic)9781467389778
DOIs
StatePublished - 29 Sep 2017
Event2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017 - Chongqing, China
Duration: 25 Mar 201726 Mar 2017

Publication series

NameProceedings of 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017

Conference

Conference2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017
Country/TerritoryChina
CityChongqing
Period25/03/1726/03/17

Keywords

  • Combat power field
  • Formation
  • Fuzzy analytic hierarchy process
  • Prospect theory
  • Uncertain information

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