Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (25): 234-237.DOI: 10.3778/j.issn.1002-8331.2009.25.072

• 工程与应用 • Previous Articles     Next Articles

Export textile products anti-dumping early-warning system based on fuzzy decision tree

CHANG Zhi-peng   

  1. School of Economics,Anhui University of Technology,Ma’anshan,Anhui 243002,China
  • Received:2008-05-13 Revised:2008-08-19 Online:2009-09-01 Published:2009-09-01
  • Contact: CHANG Zhi-peng

基于模糊决策树的出口纺织品反倾销预警系统

常志朋   

  1. 安徽工业大学 经济学院,安徽 马鞍山 243002
  • 通讯作者: 常志朋

Abstract: The textile products trade between China and EU is examined to construct an anti-dumping early-warning system based on fuzzy decision tree.This system is helpful to government and enterprise to determine policies and take measures and reduce the number of anti-dumping,avoid and relieve the cost caused by anti-dumping survey.The degree of EU’s trade protection,increasing speed of Chinese export textiles products,degree of trade friction between China and EU and degree of market economy are used as anti-dumping early-warning system evaluation indexes.The fuzzy decision tree model is different from traditional modeling methods in constructing textile products anti-dumping early-warning system.The result of the positive research indicates that this system is valid for textile products anti-dumping risk prediction and it has a good application prospect in this area.

Key words: fuzzy decision tree, anti-dumping, early-warning, textile products

摘要: 以中国和欧盟的纺织品贸易为研究对象,并在此基础上建立基于模糊决策树的反倾销预警系统,从而为政府研究和制定反倾销政策和措施提供依据,避免或减少反倾销给我国纺织业造成的损失。选取欧盟贸易保护程度、中国纺织品出口增长速度、双边贸易摩擦程度、市场经济程度4个综合预警指标,区别于传统的建模方法,应用模糊决策树技术建立纺织品反倾销预警系统。检验结果表明该预警模型具有较好的预测效果,在反倾销预警领域里有较好的应用前景。

关键词: 模糊决策树, 反倾销, 预警, 纺织品

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