Description

In an emergency evacuation operation, accurate classification of the evacuee population can provide important information to support the responders in decision making. Protecting the user from potential harm is the main contribution. Classification rules are enabled to enhance better security range. It helps to remove the outlier dataset which is noisy. It performs better than some state-of-the-art methods for classification rule mining. And this method can be easily extended to many other multiobjective rule mining problems.