Application of fuzzy decision trees to the public critical system
模糊决策树在公共危机应急系统中的应用

Nowadays the data in the real pohce database of the public critical system is explosive and hard to classify. To solve this problem, a revised fuzzy decision trees algorithm combined with the Genetic Algorithm was proposed in this paper. The forecast rate of the decision trees and the comprehensibility of the rules were improved by using this method. Meanwhile, the decision tree classifier based on the algorithm was designed to help the policemen not only to classify the old items, but also to forecast the new critical events accurately and quickly.