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

Authors

Junyang Liu, 1.Postgraduate Brigade, Air Force Logistics Academy, Xuzhou 221000, China;Follow
Shisong Zhu, 2.Flight Support and Command Department, Air Force Logistics Academy, Xuzhou 221000, China;Follow

Abstract

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.

Recommended Citation

Liu, Junyang and Zhu, Shisong (2023) "Auxiliary Decision-Making Method for Flight Support Force Allocation Based on DBN," Journal of System Simulation: Vol. 35: Iss. 5, Article 10.
DOI: 10.16182/j.issn1004731x.joss.22-0037
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss5/10

First Page

1008

Revised Date

2022-03-21

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.22-0037

Last Page

1019

CLC

TP391.9

Recommended Citation

Junyang Liu, Shisong Zhu. Auxiliary Decision-Making Method for Flight Support Force Allocation Based on DBN[J]. Journal of System Simulation, 2023, 35(5): 1008-1019.

Corresponding Author

Shisong Zhu,zhushisong@souhu.com

DOI

10.16182/j.issn1004731x.joss.22-0037