Decision-making method for unconventional railway emergency rescue

The inferential method of Bayesian network is applied to the railway emergency decisionmaking to provide a practical, intelligent and scientific decision-making method for the railway emergency rescue. On the basis of the extraction and reduction of decision attributes, the assessment method based on cloud model is used to qualitatively divide the decision attributes of the case, which reduces the deviation of the division. The Bayesian network model of the emergency decision-making for railway emergency is established, and a specific measure of comprehensive decision-making is proposed. The example shows the decision-making process of comprehensive probability of unconventional railway emergency. The analysis of the case shows the measure can meet the need of railway emergency decision-making, which is practical, precise and valid even when the information is incomplete. The proposed measure can provide new ideas to intelligentize railway emergency decision-making support system while the knowledge of field is incomplete and the experience is dominating. ©, 2014, Science Press. All right reserved.