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, dasiaBayesian networkspsila is used to determine value of weights, which combined prior information (other expertspsila knowledge, or numerical simulation etc.) with expertspsila knowledge. This method effectively takes advantage of expertspsila knowledge and avoids the problem with expertspsila subjectivity. An illustrative example is showed to explore the implications of proposed method. The model is valuable for field of multi-attribute decision-making.