改进灰色层次分析法的机动导航保障能力评估

吴北苹; 何晶; 王彦璎; 王晓薇

doi:10.15892/j.cnki.djzdxb.2024.01.012

弹箭与制导学报 >

2024 , Vol. 44 >Issue 1: 75 - 83

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2024.01.012

改进灰色层次分析法的机动导航保障能力评估

吴北苹 ¹^,² ,
何晶 ¹ ,
王彦璎 ¹ ,
王晓薇 ¹

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¹ 空军工程大学信息与导航学院,陕西西安 710077
² 空军通信士官学校,辽宁大连 116600

吴北苹(1983—),男,讲师,硕士,研究方向:信息通信装备作战使用与保障。

收稿日期: 2023-12-25

网络出版日期: 2024-12-28

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Evaluation of Mobile Navigation Support Capability by Improving Grey Analytic Hierarchy Process

WU Beiping ¹^,² ,
HE Jing ¹ ,
WANG Yanying ¹ ,
WANG Xiaowei ¹

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¹ Information and Navigation School, Air Force Engineering University,Xi’an 710077, Shaanxi,China
² Air Force Communication Noncommissioned Officer School, Dalian 116600,Liaoning,China

Received date: 2023-12-25

Online published: 2024-12-28

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摘要

针对未来战场样式形态的不确定性和机动性,机场的快速部署需求日益迫切,机动导航保障能力的高低直接影响和制约航空兵快速、机动的作战能力。文中针对机动导航保障能力评估的“小数据”“贫信息”不确定性特点,综合考虑机动部署条件下装备、环境影响因素及导航保障人员能力要求,建立了机动导航保障能力评估指标体系,提出了基于改进的灰色层次分析法的机动导航保障评估方法,构建了评估模型,为降低主观因素影响,从专家评分数据着手,应用3标度构造判断矩阵,将定性指标与定量指标区分细化构建评估样本矩阵。最后,实例结果表明,采用改进的3标度灰色层次分析法,判断矩阵的构建不需要一致性检验,评估计算步骤简化的同时,克服了评估中外界影响因素的复杂性、主观判断的模糊性和人为打分的随机性影响。

关键词： 导航; 灰色层次; 保障能力; 评估

本文引用格式

吴北苹 , 何晶 , 王彦璎 , 王晓薇 . 改进灰色层次分析法的机动导航保障能力评估[J]. 弹箭与制导学报, 2024 , 44(1) : 75 -83 . DOI: 10.15892/j.cnki.djzdxb.2024.01.012

Abstract

In response to the uncertainty and maneuverability of future battlefield styles and forms, the rapid deployment needs of airports are becoming increasingly urgent. Mobile navigation support forces, as an essential component of aircraft takeoff and landing support, directly affect and restrict the combat capabilities of aviation forces in terms of speed and maneuverability. In response to the uncertainty characteristics of "small data" and "poor information" in the evaluation of mobile navigation support capabilities, the article comprehensively considers equipment and environmental factors under mobile deployment conditions, as well as the ability requirements of navigation support personnel. A mobile navigation support capability evaluation index system is established, and an improved grey analytic hierarchy process based mobile navigation support evaluation method is proposed. An evaluation model is constructed to reduce the influence of subjective factors, Starting from expert rating data, apply the 3-scale method to construct a judgment matrix, and refine the differentiation between qualitative and quantitative indicators to construct an evaluation sample matrix. Finally, the evaluation method is validated through examples. The results show that using the improved 3-scale grey analytic hierarchy process, the construction of the judgment matrix does not require consistency testing. While simplifying the evaluation calculation steps, it overcomes the complexity of external influencing factors, the ambiguity of subjective judgments, and the randomness of human scoring in the evaluation. When using this method in the next step, it can also increase the gray class level in the application of grey theory and improve the accuracy of evaluation.

Key words： navigation; gray level; supportability; evaluation

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