Target Threat Assessment of Airborne Based on IT2F-BWM

DOI

10.2991/978-94-6463-736-6_32How to use a DOI?

Keywords

Interval Type-2 Fuzzy; Best-Worst Method; Dynamic weighting; Threat assessment

Abstract

Aiming at the problem of irrational application of indicator constant value weights in dynamic airborne threat assessment, an IT2F-BWM-based airborne target threat assessment method is proposed. Firstly, according to the characteristics of air combat confrontation, the threat assessment index model is constructed from the static and dynamic attributes of warplanes, and expert experience is integrated into the identification of combat intent; secondly, a fuzzy weight dynamic adaptation mechanism based on situational classification is designed, and IT2F-BWM is used to establish the mapping between typical styles and threat indexes, and the constrained optimization model is used to solve for the consistency of the optimal weights, and the dynamic adjustment of weights is realized with the evolution of the situation; finally, the effectiveness of the method is verified through comparative experiments. Finally, the effectiveness of the method is verified through comparative experiments, and the results show that the dynamic weights are more suitable for the real air confrontation requirements.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Wei Zheng
AU  - Sheng Li
AU  - Hao Pan
AU  - Xin Fan
AU  - Jianfang Teng
AU  - Peng Xiao
PY  - 2025
DA  - 2025/05/22
TI  - Target Threat Assessment of Airborne Based on IT2F-BWM
BT  - Proceedings of the 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025)
PB  - Atlantis Press
SP  - 275
EP  - 286
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-736-6_32
DO  - 10.2991/978-94-6463-736-6_32
ID  - Zheng2025
ER  -