Threat Assessment of Manned/Unmanned Aerial Vehicle Formation Based on QABC-IFMADM Algorithm

HAN Bo-wen; YAO Pei-yang; ZHONG Yun; DING Yun-song; LIU Zi-zhen

doi:10.3969/j.issn.0372-2112.2018.07.007

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Threat Assessment of Manned/Unmanned Aerial Vehicle Formation Based on QABC-IFMADM Algorithm

更新时间：2025-07-16

- Threat Assessment of Manned/Unmanned Aerial Vehicle Formation Based on QABC-IFMADM Algorithm
- Acta Electronica Sinica Vol. 46, Issue 7, Pages: 1584-1592(2018)
- 作者机构：
  
  空军工程大学信息与导航学院,陕西,西安,710077
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61573017)
- DOI：10.3969/j.issn.0372-2112.2018.07.007
  CLC： TP391TP181
- Published Online：25 July 2018，
  
  Published：2018
- 稿件说明：
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HAN Bo-wen, YAO Pei-yang, ZHONG Yun, et al. Threat Assessment of Manned/Unmanned Aerial Vehicle Formation Based on QABC-IFMADM Algorithm[J]. Acta Electronica Sinica, 2018, 46(7): 1584-1592.
DOI：

HAN Bo-wen, YAO Pei-yang, ZHONG Yun, et al. Threat Assessment of Manned/Unmanned Aerial Vehicle Formation Based on QABC-IFMADM Algorithm[J]. Acta Electronica Sinica, 2018, 46(7): 1584-1592. DOI： 10.3969/j.issn.0372-2112.2018.07.007.

摘要

信息化条件下有人/无人机编队作战环境具有高度不确定性，如何对目标进行快速有效的威胁评估成为亟待解决的问题.在直觉模糊集框架下，研究决策者对方案具有偏好，目标属性值为区间数且权重未知的评估问题，提出一种量子蜂群（QABC）优化属性权重的直觉模糊多属性决策（IFMADM）的威胁评估方法.首先，建立方案偏好模型；其次，综合考虑客观优化排序和决策者方案偏好信息，建立主客观最优属性权重优化模型，并采用量子蜂群算法优化属性权重，使得属性权重更准确地反映实际情况.最后，通过编队对地作战威胁评估算例验证了所提方法的合理性与有效性.

Abstract

Under the condition of information technology

there is a high degree of uncertainty in the combat environment of manned/unmanned aerial vehicle formation;so how to evaluate the threat of targets quickly and efficiently becomes an urgent problem to be solved.In the framework of intuitionistic fuzzy sets

researching the satiation that decision makers with preference information on alternatives

the target attribute value is interval number and weight is unknown

a threat assessment method with unknown attribute weight optimized by QABC (Quantum Artificial Bee Colony) optimization algorithm is proposed based on IFMADM (Intuitionistic Fuzzy Multi-Attribute Decision Making).Firstly

preference model is constructed;secondly

the optimization model of optimal attribute weights is established considering the objective optimization taxis and preference information of decision maker synthetically

making attribute weights more reasonably reflect the actual situation by QABC optimization algorithm.Finally

the effectiveness of the proposed method is demonstrated by an example of formation threat to ground attack.

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