Abstract: Aiming at the problem of improper emergency decision- making caused by the untimely and incomplete transmission of on- site information of dangerous goods air transportation accidents, a case-based reasoning model for emergency decision- making of dangerous goods air transportation accidents was established. Build case attributes with surface information on the accident site; The G1 method performs case optimization search for the subjective weighting of case attributes, and the entropy weight method combines objective weighting with gray correlation analysis for case similarity search.Through example analysis, the similarity between the most similar case calculated by the model and the target case is 0.671 28 and the emergency decision-making schemes of the two are similar, indicating that the model can provide emergency decision-making guidance for dangerous goods air transportation accidents.

Key words: air transportation of dangerous goods, emergency decision-making, CBR, G1 method, entropy method; grey correlation