Uncertain reasoning-based text hierarchy classification method and device

The invention relates to the information technical field of processing Chinese texts by using data digging technology, in particular to an uncertain reasoning-based text hierarchy classification method and an uncertain reasoning-based text hierarchy classification device. The method comprises the following steps of: a) extracting features from a trained text; b) determining an identification framework and a focus element of classification problems; c) constructing a basic probability assignment function by using the weights of the features; d) synthesizing probability distribution of a tested text by using the basic probability assignment function of the features; and e) performing classification according to a classification rule by using the probability distribution. The method and the device have the advantages that: a non leaf class is constructed into virtual leaf class to participate in classification so as to well distinguish different features between a parent class and a subclass; and the classification probability of the text is expressed as a triangular fuzzy number by using the probability assigned to the non leaf class by using the basic probability assignment function and the pignistic probability, so uncertain information is fully utilized during classification and the accuracy of the classification is improved.