基于D-S证据理论的空海跨域无人集群协同效能评估方法

刘津奇; 谭心茹; 郑凯

doi:10.12382/bgxb.2025.0812

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基于D-S证据理论的空海跨域无人集群协同效能评估方法

更新时间：2026-03-09

- 基于D-S证据理论的空海跨域无人集群协同效能评估方法
- Collaborative Effectiveness Evaluation Method for Air-Sea Cross-domain Unmanned Clusters based on D-S Evidence Theory
- 兵工学报 2026年
- 作者机构：
  
  大连海事大学船舶电气工程学院,辽宁,大连,116026
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目(52401400);大连市揭榜挂帅技术攻关项目（2024JB11PT007）
- DOI：10.12382/bgxb.2025.0812
  中图分类号： E917
- 收稿：2025-09-04，
  
  网络首发：2026-03-09，
- 稿件说明：
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刘津奇，谭心茹，郑凯. 基于D-S证据理论的空海跨域无人集群协同效能评估方法[J/OL]. 兵工学报, 2026(2026-03-09). https://doi.org/10.12382/bgxb.2025.0812.

LIU J Q, TAN X R, ZHENG K. Collaborative effectiveness evaluation method for air-sea cross-domain unmanned clusters based on d-s evidence theory[J/OL]. Acta Armamentarii, 2026(2026-03-09). https://doi.org/10.12382/bgxb.2025.0812. (in Chinese)
刘津奇，谭心茹，郑凯. 基于D-S证据理论的空海跨域无人集群协同效能评估方法[J/OL]. 兵工学报, 2026(2026-03-09). https://doi.org/10.12382/bgxb.2025.0812. DOI：

LIU J Q, TAN X R, ZHENG K. Collaborative effectiveness evaluation method for air-sea cross-domain unmanned clusters based on d-s evidence theory[J/OL]. Acta Armamentarii, 2026(2026-03-09). https://doi.org/10.12382/bgxb.2025.0812. (in Chinese) DOI：

摘要

空海跨域无人集群可有效执行复杂海上任务，系统性的效能评估有助于推动其实战化应用。针对空海跨域无人集群协同效能评估中测量数据具有不确定性的问题，提出了一种基于D-S证据理论的空海跨域无人集群协同效能评估方法。该方法基于OODA作战环理论构建了包含协同侦察感知能力、协同分析判断能力、协同指挥决策能力和协同行动能力四个维度的跨域无人集群协同效能评估指标体系；针对主观赋权法依赖专家经验的问题设计了客观赋权机制，通过Hellinger距离和关联系数构建指标相似度矩阵，形成了考虑指标间相似程度的直接权重与表征指标间相互影响的间接权重相融合的综合权重确定机制，有效捕获了跨域协同过程中指标间的复杂耦合关系；通过隶属度函数对指标数据进行不确定性建模，将各指标看作是印证效能评估结果的证据，从而采用Dempster规则进行融合，得到最终的协同效能评估结果。仿真推演测试结果表明所提出的方法能够实现空海跨域无人集群协同效能评估，在存在数据不确定的情况下提供了一致的评估结果。评估结果可为空海跨域无人集群的作战应用提供参考依据。

Abstract

Air-sea Cross-domain unmanned clusters can effectively execute complex maritime missions

and systematic effectiveness evaluation facilitates their operational deployment. This study addresses the challenge of uncertain measurement data in evaluating the collaborative effectiveness of air-sea cross-domain unmanned clusters by proposing an assessment method based on D-S evidence theory.This method establishes a four-dimensionalindexsystem based on OODA theory

including reconnaissance

analysis

decision-making

and action capabilities.To overcome the limitations of subjective weighting methods that rely heavily on expert experience

an objective weighting mechanism is developed. This mechanism employs Hellinger distance and correlation coefficients to establish an indicator similarity matrix

integrating direct weights with indirect weights to form a comprehensive weighting determination system that effectively captures complex coupling relationships during cross-domain collaboration. Uncertainty in indicator data is modeled using membership functions

treating each indicator as evidencecorroborating the effectiveness evaluation results. The Dempster combination rule is then applied to fuse this evidence and derive the final results demonstrate that the proposed methodcanevaluate air-sea cross-domain unmannedclusterscollaboration effectivenesssuccessfully

providing consistent assessment outcomes despite data uncertainty.Evaluation results can serve as a reference basis for the operational application of cross-domain air-sea unmanned clusters.

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references

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