火力与指挥控制2024,Vol.49Issue(11) :157-168.DOI:10.3969/j.issn.1002-0640.2024.11.022

基于多专家信息融合Fuzzy-EAHP的地面无人平台自主能力评估方法

Autonomous Capability Evaluation Method of UGVs Based on Multi-expert Formation Fusion Fuzzy-EAHP

李文璋 陶业荣 唐川
火力与指挥控制2024,Vol.49Issue(11) :157-168.DOI:10.3969/j.issn.1002-0640.2024.11.022

基于多专家信息融合Fuzzy-EAHP的地面无人平台自主能力评估方法

Autonomous Capability Evaluation Method of UGVs Based on Multi-expert Formation Fusion Fuzzy-EAHP

李文璋 1陶业荣 1唐川1
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作者信息

  • 1. 解放军63891部队,河南 洛阳 471000
  • 折叠

摘要

针对地面无人平台自主能力评估结果受主观因素影响较大的问题,提出一种基于多专家信息融合的Fuzzy-EAHP方法用于地面无人平台自主能力评估.以地面无人平台的任务和使用环境为基础分析能力需求;从环境感知能力、越野机动能力、决策规划能力、通信交互能力、抗干扰容错能力5个方面,完成自主能力评估指标体系的构建;在计算指标权重时提出一种基于多专家信息融合的Fuzzy-EAHP方法,该方法通过融合专家的专业程度提高评估准确性,能够处理定性与定量指标共存的问题.实例分析结果表明,该方法能够为地面无人平台的自主能力提供科学、合理的评价.

Abstract

As the evaluation results of autonomous capability of UGVs are greatly affected by subjective factors.A Fuzzy-EAHP method based on multi-expert information fusion is proposed for autonomous capabil-ity evaluation.Firstly,the capability demand is analyzed based on the mission of the UGVs and the operating environment.Then the construction of evaluation index system of autonomous capability is constructed from five aspects:environmental perception ability,off-road maneuvers ability,decision-making ability,communi-cation and interaction ability,anti-interference and fault-tolerant ability.A Fuzzy-EAHP method based on multi-expert information fusion is proposed to calculate the index weight.The proposed method improves the accuracy of evaluation by integrating the expertise of experts,meanwhile,the proposed method can solve the coexistence problems with both qualitative and quantitative indexes.The results of case analysis show that the proposed method can provide scientific and reasonable evaluation for the autonomous capability of UGVs.

关键词

地面无人平台/自主能力评估/评估指标体系/多专家信息融合/Fuzzy-EAHP

Key words

UGVs/autonomous capability evaluation/evaluation index system/multi-expert information fusion/Fuzzy-EAHP

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出版年

2024
火力与指挥控制
火力与指挥控制研究会,火力与指挥控制专业情报网

火力与指挥控制

CSTPCDCSCD北大核心
影响因子:0.312
ISSN:1002-0640
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