系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (10): 3516-3530.doi: 10.12305/j.issn.1001-506X.2026.10.22

• 系统工程 • 上一篇    

考虑抢修后变权的战损装备战场态势价值评估

蒋明杰1,2, 蒋铁军1, 郭立军3, 刘少华1   

  1. 1. 海军工程大学,湖北 武汉 430033
    2. 中国人民解放军91718部队,福建 晋江 362200
    3. 中国人民解放军91976部队,广东 广州 510080
  • 收稿日期:2025-05-12 出版日期:2026-10-25 发布日期:2026-09-30
  • 通讯作者: 蒋铁军
  • 作者简介:蒋明杰(1986—),男,助理工程师,硕士研究生,主要研究方向为装备保障
    郭立军(1979—),男,教授,硕士,主要研究方向为装备保障
    刘少华(1982—),男,助理研究员,博士,主要研究方向为装备信息管理、装备保障

Battlefield situation value assessment of war-damaged equipment with variable weight after rush repair

Mingjie Jiang1,2, Tiejun Jiang1, Lijun Guo3, Shaohua Liu1   

  1. 1. Naval University of Engineering,Wuhan 430033,China
    2. Unit 91718 of the PLA,Jinjiang 362200,China
    3. Unit 91976 of the PLA,Guangzhou 510080,China
  • Received:2025-05-12 Online:2026-10-25 Published:2026-09-30
  • Contact: Tiejun Jiang

摘要:

为解决现有战损装备战场态势价值评估未考虑装备修复后重要度依战场态势变化的问题,提出一种考虑抢修后变权的战损装备战场态势价值评估方法。首先,运用自然语言处理建立战损装备战场态势价值评估指标体系,依据指标层级之间的联系建立关联模型。然后,运用词频-逆文档频率、双向转换编码器表征法与熵权法求得初始组合权重,以装备抢修后战场态势变化为依据,分析过去时刻、未来趋势、态势突变等情况对装备指标数据的影响,采用阶段划分变权的方式对指标权重进行调整,将过去时刻与抢修后态势预测情况下的判断矩阵进行组合。最后,利用变权的逼近理想解排序法对装备战场态势价值进行排序。算例验证结果表明,考虑抢修后变权的评估结果与预测的态势情况相吻合。所提方法能够适应战场态势的变化。

关键词: 战损装备, 战场态势价值, 装备抢修, 趋势预测

Abstract:

In order to address the issue that the current battlefield situation value assessment of war-damaged equipment does not take into account the importance of the equipment after repair,which changes along with the battlefield situation, a method for battlefield situation value assessment of the damaged equipment is proposed considering the variable weight after rush repair. Firstly, the evaluation index system of war-damaged equipment battlefield situation value assessment is established by natural language processing, and the correlation model is established according to the relationship between indicator levels. Then, the initial combination weight is obtained by term frequency-inverse document frequency, bidirectional encoder representations from transformers characterization method and entropy weight method. Based on the battlefield situation changes after equipment rush repair, the influences of past moments, future trends and situation changes on equipment indicator data are analyzed. The index weights are adjusted by the method of stage division with variable weights, and combining the judgment matrix of the past moments with those predicted situation after rush repair. Finally, technique for order preference by similarity to ideal solution method with variable weights is used to sort the equipment battlefield situation value. The verification results of the example show that the assessment results considering the change of weight after rush repair are consistent with the predicted situation.The proposed method can adapt to changes in the battlefield situation.

Key words: war-damaged equipment, battlefield situation value, equipment rush repair, trend prediction

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