Journal of System Simulation ›› 2023, Vol. 35 ›› Issue (5): 1008-1019.doi: 10.16182/j.issn1004731x.joss.22-0037

• Papers • Previous Articles     Next Articles

Auxiliary Decision-Making Method for Flight Support Force Allocation Based on DBN

Junyang Liu1(), Shisong Zhu2()   

  1. 1.Postgraduate Brigade, Air Force Logistics Academy, Xuzhou 221000, China
    2.Flight Support and Command Department, Air Force Logistics Academy, Xuzhou 221000, China
  • Received:2022-01-14 Revised:2022-03-21 Online:2023-05-30 Published:2023-05-22
  • Contact: Shisong Zhu E-mail:1746618275@qq.com;zhushisong@souhu.com

Abstract:

In order to make up for the deficiency of decision-making methods of full deployment and proportional allocation in airport flight support activities, an auxiliary decision-making model for airport flight support force allocation based on a dynamic Bayesian network (DBN) is constructed.On the basis of quantifying the strength of the support force, thehidden Markov model and Hausdorff distance algorithm are introduced to make auxiliary decisions for flight support activities under different conditions and define relevant decision evaluation indexes as the basis for model verification. Simulation tests are carried out on airport flight support activities under two conditions respectively. The results show that the decision-making model can generate a scheme whose index is better than the traditional proportional allocation scheme and provide the basis for decision-making support for supplementing the support force gap.

Key words: flight support, dynamic Bayesian network (DBN), hidden Markov model, Hausdorff distance, force allocation, auxiliary decision

CLC Number: