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An evaluation method of contribution rate based on fuzzy Bayesian networks for equipment system-of-systems architecture
作者姓名:XU Renjie  LIU Xin  CUI Donghao  XIE Jian  GONG Lin
作者单位:1. School of Mechanical Engineering, Beijing Institute of Technology;2. College of Systems Engineering, National University of Defense Technology;3. Yangtze Delta Region Academy of Beijing Institute of Technology
基金项目:the National Natural Science Foundation of China (72071206);
摘    要: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...

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