The Application of Neuro-Fuzzy Decision Tree Analysis in Anti-Dumping Early-Warning System (ID: 8-105)

摘要

A popular and particularly effcient method for making a fuzzy decision tree for classification from fuzzy data is fuzzy ID3. However, they are poor in classification accuracy. In this paper, we proposed Neuro-fuzzy decision tree. Neurol-fuzzy decision tree (a fuzzy decision tree structure with neural like parameter adaptation strategy) improves FDT's classification accuracy and extracts more accuracy human interpretable classification rules. In this paper, we proposed a new anti-dumping early-warning system .The early-warning system based on neuro-fuzzy decision tree modeling method is different from traditional modeling methods. The other new attempt is the setting of early-warning intervals. The result of the positive research indicated that this system is very valid for anti-dumping prediction and it will have a good application prospect in this area.