Resilience based importance measure analysis for SoS

Pan, Xing; Wang, Huixiong; Yang, Yu-Bin; Zhang, Guozhong

doi:10.21629/jsee.2019.05.10

Cited by 19 publications

(1 citation statement)

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“…There are two representative assessment methods [11−15]: complex network and operation loop. The complex network method is developed mainly based on the network topology, such as natural connectivity [16], robustness [17], and resilience [18]. Luo et al [19] discussed the influence of network structure evolution and parameter change on the contribution rate of ESoS by analyzing the topological structure of the ESoS combat network based on the complex network theory.…”

Section: Introductionmentioning

confidence: 99%

An evaluation method of contribution rate based on fuzzy Bayesian networks for equipment system-of-systems architecture

Liu

Cui

et al. 2023

J. of Syst. Eng. Electron.

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The contribution rate of equipment system-of-systems architecture (ESoSA) is an important index to evaluate the equipment update, development, and architecture optimization. Since the traditional ESoSA contribution rate evaluation method does not make full use of the fuzzy information and uncertain information in the equipment system-of-systems (ESoS), and the Bayesian network is an effective tool to solve the uncertain information, a new ESoSA contribution rate evaluation method based on the fuzzy Bayesian network (FBN) is proposed. Firstly, based on the operation loop theory, an ESoSA is constructed considering three aspects: reconnaissance equipment, decision equipment, and strike equipment. Next, the fuzzy set theory is introduced to construct the FBN of ESoSA to deal with fuzzy information and uncertain information. Furthermore, the fuzzy importance index of the root node of the FBN is used to calculate the contribution rate of the ESoSA, and the ESoSA contribution rate evaluation model based on the root node fuzzy importance is established. Finally, the feasibility and rationality of this method are validated via an empirical case study of aviation ESoSA. Compared with traditional methods, the evaluation method based on FBN takes various failure states of equipment into consideration, is free of acquiring accurate probability of traditional equipment failure, and models the uncertainty of the relationship between equipment. The proposed method not only supplements and improves the ESoSA contribution rate assessment method, but also broadens the application scope of the Bayesian network.

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Section: Introductionmentioning

confidence: 99%