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Journal of System Simulation

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.

First Page

1224

Last Page

1238

CLC

TP391.9

Recommended Citation

Su Hongjia, Zhang Cheng, Liu Fei. SoS Effectiveness Evaluation Method Based on Fuzzy Functional Dependency Network Analysis[J]. Journal of System Simulation, 2026, 38(5): 1224-1238.

Corresponding Author

Liu Fei

DOI

10.16182/j.issn1004731x.joss.25-0464

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