Anti-Dumping Early-Warning System Based on Neuro-FDT

In this paper, a new anti-dumping early-warning system for the export of China´s textile products is presented. The early-warning system based on neuro-fuzzy decision tree modeling method is different from traditional modeling methods. Fuzzy decision trees are powerful, top-down, hierarchical search methodology to extract human interpretable classification rules. However, they are poor in classification accuracy. Neural networks-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. 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