系统仿真学报 ›› 2019, Vol. 31 ›› Issue (7): 1272-1279.doi: 10.16182/j.issn1004731x.joss.19-0193

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熵权VIKOR方法下的制导系统仿真可信优选研究

杨文光1,2, 吴云洁1   

  1. 1. 北京航空航天大学 自动化科学与电气工程学院,北京 100191;
    2. 华北科技学院 理学院,北京 101601
  • 收稿日期:2019-05-05 修回日期:2019-06-24 发布日期:2019-12-12
  • 作者简介:杨文光(1981-),男,河北涞水,博士生,副教授,研究方向为仿真可信性验证。
  • 基金资助:
    国家自然科学基金(91216304,11801173), 河北省数据科学与应用重点实验室开放课题(HBSJQ0708), 华北科技学院概率论与数理统计校级重点学科(06DV09)

Credible Optimum Selection of Guidance System Simulation Based on Entropy Weight VIKOR Method

Yang Wenguang1,2, Wu Yunjie1   

  1. 1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
    2. College of Science, North China Institute of Science and Technology, Beijing 101601, China
  • Received:2019-05-05 Revised:2019-06-24 Published:2019-12-12

摘要: 制导系统作为导弹系统的核心部件,在导弹系统设计中的地位愈加重要。为提高制导系统的精度,利用仿真实验获取了多组参数设计方案下的实验数据。将制导系统的仿真可信性验证问题转化为多属性决策优化问题,设计了基于改进VIKOR方法的制导系统参数优选方法。改进后VIKOR方法克服了秩序反转现象发生,且保证优选的最终妥协解是能够反馈决策者心态的最优解。结合最终的仿真方案,获得了多属性决策背景下的最优参数,具有较高的决策意义。

关键词: VIKOR, 可信性, 熵权, 系统仿真, 优化

Abstract: As the core component of the missile system, the guidance system plays an increasingly important role in the design of missile system. In order to improve the accuracy of the guidance system, this paper obtains the experimental data under a number of parameter design schemes by means of simulation experiments. The problem of simulation credibility verification of guidance system is transformed into multi-attribute decision-making optimization problem, and a parameter optimization method of guidance system based on improved VIKOR method is designed. The improved VIKOR method overcomes the phenomenon of rank reversal and ensures that the optimal final compromise solution is the optimal solution which can feed back the decision-maker's mentality. Combined with the final simulation scheme, the optimal parameters under the background of multi-attribute decision making are obtained, which have higher decision-making significance.

Key words: VIKOR, creditability, entropy weight, system simulation, optimization

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