The application of fuzzy decision tree analysis in power customers mining

摘要

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.