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

Abstract

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.

Complex Network-Based Resilience Capability Assessment for a Combat System of Systems

“…Complex network theory can effectively analyze the dynamic and complex characteristics of a SoS and has become an important analytical method [1]. Studies on evaluating combat SoS based on complex networks primarily center on analyzing the system's resilience to destruction [2,3], assessing the importance of system nodes [4][5][6], determining the system contribution rates [7,8], and evaluating the combat capabilities [9]. However, there is currently limited research on assessing the overall resilience of a combat SoS.…”