A Construction Method of a Network-Type Index System for Air Combat System Effectiveness Evaluation Based on Association Rules Mining

Hao Chen, Siyang Yu, Shuaiwei Nan, Wenhao Bi, An Zhang

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

Abstract

Aiming at the problem that the traditional tree-type and cluster-type index systems do not fully meet the requirements of complex air combat effectiveness evaluation under the background of system combat, a method of constructing network-type index system is proposed. Firstly, through the analysis of the index hierarchies of typical complex air combat systems, the capability hierarchy indexes with network characteristics are selected as the research object. Then, FP-Growth algorithm is used to mine the association rules among indexes and compared with Apriori algorithm in the difference of run time. Then, the lift is introduced to quantitatively describe the influence relationship among the indexes and the air combat effectiveness evaluation network-type index system is constructed. The feasibility and effectiveness of the proposed method are verified by simulation.

Original languageEnglish
Title of host publicationProceedings - 2024 China Automation Congress, CAC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4891-4896
Number of pages6
ISBN (Electronic)9798350368604
DOIs
StatePublished - 2024
Event2024 China Automation Congress, CAC 2024 - Qingdao, China
Duration: 1 Nov 20243 Nov 2024

Publication series

NameProceedings - 2024 China Automation Congress, CAC 2024

Conference

Conference2024 China Automation Congress, CAC 2024
Country/TerritoryChina
CityQingdao
Period1/11/243/11/24

Keywords

  • FP-Growth algorithm
  • air combat system effectiveness evaluation
  • association rules mining
  • network-type index system

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