Algorithm of Networked Ammunition Attack Decision- Making Based on AHP-TOPSIS

Ming Li, Guo Hua Luo*, Chun Lan Jiang, Yuan Hao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Aiming at the problem of networked ammunition attack decision-making, an algorithm of networked ammunition attack decision-making based on AHP-TOPSIS was presented. The key attributes affecting the networked ammunition attack decision-making were analyzed. The AHP algorithm was used to construct the hierarchical structure, the judgment matrix was constructed and the weights of the attributes were determined. Then, the improved TOPSIS algorithm was used to get the ranking result of the decision scheme. The simulation results show that the algorithm has the advantages of low computational complexity and high real-time performance. The proposed algorithm can effectively solve the multi-node attack decision-making problem, and effectively restrain the algorithm from reverse order, and has certain robustness and practicability.

Original languageEnglish
Pages (from-to)1315-1320
Number of pages6
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume37
Issue number12
DOIs
Publication statusPublished - 1 Dec 2017

Keywords

  • Analytic hierarchy process (AHP)
  • Attack decision-making
  • Networked weapon system
  • Technique for order preference by similarity to ideal solution (TOPSIS)

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