系统仿真学报 ›› 2026, Vol. 38 ›› Issue (5): 1224-1238.doi: 10.16182/j.issn1004731x.joss.25-0464

• • 上一篇    

基于模糊功能依赖网分析的体系效能评估方法

苏泓嘉1, 张成2, 刘飞1   

  1. 1.华南理工大学,广东 广州 510006
    2.中国舰船研究设计中心,湖北 武汉 430064
  • 收稿日期:2025-05-22 修回日期:2025-08-02 出版日期:2026-05-21 发布日期:2026-05-29
  • 通讯作者: 刘飞
  • 第一作者简介:苏泓嘉(2000-),男,硕士生,研究方向为系统建模与仿真。
  • 基金资助:
    基础科研计划(JCKY2023206A023)

SoS Effectiveness Evaluation Method Based on Fuzzy Functional Dependency Network Analysis

Su Hongjia1, Zhang Cheng2, Liu Fei1   

  1. 1.South China University of Technology, Guangzhou 510006, China
    2.China Ship Development and Design Center, Wuhan 430064, China
  • Received:2025-05-22 Revised:2025-08-02 Online:2026-05-21 Published:2026-05-29
  • Contact: Liu Fei

摘要:

功能依赖网分析法(functional dependency network analysis, FDNA)可对体系中装备的依赖关系进行建模,进而利用单个装备的效能来计算体系层面的整体效能,从而克服传统的基于树状指标体系进行评估的不足。依赖强度、依赖关键度等重要参数需要借助主观经验给出,针对主观评价偏差容易影响效能评估结果的准确性,提出了一种基于模糊功能依赖网分析(fuzzy FDNA, FFDNA)的装备体系效能评估 方法 。基于装备的功能属性构建功能依赖网模型,并且考虑了对节点综合依赖关键度的计算,以提高对体系分析的准确性。对于依赖参数取值过于主观、缺乏可靠性的问题,引入三角模糊数和模糊数学计算方法对体系效能进行分析计算,从而有效减少参数取值时主观偏差对效能计算结果造成的影响。通过对具体作战场景的体系效能评估进行实验分析,对该方法的有效性和实用性进行了验证。

关键词: 体系, 效能评估, 模糊功能依赖网分析, 模糊数学

Abstract:

Functional dependency network analysis (FDNA) enables modeling functional dependencies among equipment in a system of systems (SoS) and then computing the whole SoS effectiveness based on the effectiveness of each equipment, thus overcoming the deficiency of traditional SoS effectiveness evaluation based on tree-like index systems. However, critical parameters such as strength/criticality of dependency in this methodology currently rely on subjective empirical assignments, where the deviations resulting from subjectivity may compromise the accuracy of effectiveness evaluation. To address this limitation, this paper proposes a fuzzy FDNA (FFDNA)-based SoS effectiveness evaluation method. This method constructs a functional dependency network (FDN) model based on the functional attributes of equipment, and incorporates synthesis credibility of dependency to improve analytical accuracy. More importantly, to mitigate the subjectivity of dependency parameter selection, triangular fuzzy numbers (TFN) and fuzzy mathematical calculations are introduced for effectiveness computation. Experimental validation through simulated combat scenarios confirms effectiveness and practicality of the method.

Key words: system-of-systems, effectiveness evaluation, fuzzy functional dependency network analysis, fuzzy mathematics

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