System architecture design based on a Bayesian Networks method

نویسندگان

  • Philippe Weber
  • Marie-Christine Suhner
چکیده

The objective of the proposed method is to improve the decision making for system architecture design. In this purpose, Bayesian Networks (BN) models are defined in order to take into account the availability parameters of components and they economical aspects. The model allows a decision-making aide to rationalise the design of system architecture. Based on BN inference scenarios are simulated in order to compare different solutions.

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تاریخ انتشار 2008