Study on Decision Classification Fusion Model

In this paper, a general decision layer classification fusion model, based on information fusion for improving classification precision, is proposed, that is, different multi-classification algorithms as the feature layer doing respective classification, and the results of classification algorithms are input into decision level, the last classification result is output.This model is applied into improving precision of text classification. And the model is used to the computer center of some department. Through the experiment, the text classification fusion model can improve the classification precision effectively.