A Novel Kind of Decision of Weight of Multi-attribute Decision-making Model based on Bayesian Networks

One of hotspot of the existing approaches of multi-attribute decision making model (MADM) is determination of weights. This paper presents a novel kind of decision of weight of multi-attribute decision-making model based on Bayesian networks. Critical technique, 'Bayesian networks' is used to determine value of weights, which combined prior information (other experts' knowledge, or numerical simulation etc.) with experts' knowledge. This method effectively takes advantage of experts' knowledge and avoids the problem with experts' subjectivity. An illustrative example is showed to explore the implications of proposed method. The model is valuable for field of multi-attribute decision-making.