Abstract:

In view of the problem of major hazards identification in emergency response domain, we proposed a new identification model, Bayesian based major hazards identification model. First the model was constructed with the aid of known knowledge, then major hazards were identified according to the constructed model via probability. We applied this model to chemical production area and forest fire prevention area respectively, obtaining the results reasonable. Practice shows this way is effective.

Key words: Bayesian classifier, data mining, major hazards identification, emergency response plan