现代防御技术 ›› 2024, Vol. 52 ›› Issue (6): 33-40.DOI: 10.3969/j.issn.1009-086x.2024.06.005

• 空天防御体系与武器 • 上一篇    下一篇

基于梯度模糊TOPSIS导弹目标的威胁评估

许有玺, 赫健, 陈雪波   

  1. 辽宁科技大学 电子与信息工程学院,辽宁 鞍山 114051
  • 收稿日期:2023-09-01 修回日期:2024-02-27 出版日期:2024-12-28 发布日期:2024-12-26
  • 作者简介:许有玺(1997-),男,甘肃武威人。硕士生,研究方向为深度学习、算法评估。
  • 基金资助:
    国家自然科学基金(71571091)

Threat Assessment of Missile Targets Based on Gradient Fuzzy TOPSIS

Youxi XU, Jian HE, Xuebo CHEN   

  1. School of Electronic and Information Engineering,University of Science and Technology Liaoning,Anshan 114051,China
  • Received:2023-09-01 Revised:2024-02-27 Online:2024-12-28 Published:2024-12-26

摘要:

针对导弹目标威胁评估问题,提出了一种基于梯度模糊的TOPSIS导弹目标威胁评估算法。利用TOPSIS方法计算权重值并结合梯度模糊计算的模糊矩阵,得到目标威胁评估指标的综合权重值,可解决各因素数据指标量级差异过大而引起的权重值偏差过大或过小等问题。典型案例评估结果表明,所提改进算法克服了权重值差异性问题,有效提升了导弹目标威胁评估的可信性。

关键词: 导弹, 目标的威胁, 梯度模糊, 优劣解距离法, 权重, 评估

Abstract:

A TOPSIS missile target threat assessment algorithm based on gradient fuzzy is proposed for the problem of missile target threat assessment. By using the TOPSIS(technique for order preference by similarity to ideal solution) method to calculate weight values and combining gradient fuzzy calculation with the fuzzy matrix, the comprehensive weight values of target threat assessment indicators can be obtained, which can solve the problem of weight deviation caused by large differences in the magnitude of data indicators for various factors, such as large or small deviation. The evaluation results of typical cases indicate that the proposed improved algorithm overcomes the problem of weight difference and effectively enhances the credibility of missile target threat assessment.

Key words: missile, threat to targets, gradient fuzzy, technique for order preference by similarity to ideal solution(TOPSIS), weight, assessment

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