The application of fuzzy decision tree analysis in power customers mining
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 power customers 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 electric power companies and their experts. The fuzzy rules enable a decision-maker to adjust sale strategy according to different power customers and may give some special policies to higher profit customers. This paper is a new attempt. The result of the research indicated that the fuzzy decision tree technique is very valid in data base of power customers and it will have a good application prospect in this context.
fuzzy decision tree power customers mining electric power data base
Zhao Jianna Cao Wei
School of Business and Administration,North China Electric Power University,Baoding,Hebei Province 071003,China
国际会议
The First International Conference on Management Innovation(ICMI 2007)(管理创新会议)
上海
英文
971-975
2007-06-04（万方平台首次上网日期，不代表论文的发表时间）