The Application of Fuzzy Decision Tree Analysis in Customers Mining of International Trade
Since the seminal work of Zadeh fuzzy set theory (FST) has evolved into a valuable extension to traditional techniques, such as regression and decision tree models, for decision analysis conducted under conditions of vagueness and ambiguity. This paper is concerned with the exposition and application of a fuzzy decision tree approach to a problem involving typical international trade data. More specifically, a set of fuzzy if...then. .. rules are constructed to classify the level of corporate profit based on a number of characteristics of the companies and their experts. The fuzzy rules enable a decisionmaker to adjust sale strategy according to different customers and may give some special policies to higher profit customers.This paper is a new attempt in international trade. The result of the research indicated that the fuzzy decision tree technique is very valid in data base of international trade and it will have a good application prospect in this context.
Fuzzy Decision Tree Customers Mining International Trade Data Base
ZHAO Jianna CHANG Zhipeng
School of business and Administration North China Electric Power University Baoding, Hebei Province, China
国际会议
厦门
英文
318-321
2006-07-27（万方平台首次上网日期，不代表论文的发表时间）