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

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