The Application of Optimized Fuzzy Decision Trees in Business Intelligence
Minghua Zhao, Yu-zhe Chen, Dong-rong Liu, Jun Li · 2006
Business intelligence is an important method to help managers make decision. In the management of enterprises, it is critical to analyze the customer forfeit crisis for rising competition ability, which is the important branch of business intelligence. On the basis of the advantage of fuzzy decision trees in solving the fuzziness of customer data compared with decision trees, this paper optimizes the two important parameters in fuzzy decision trees using genetic algorithm. Then an approach is proposed to analyze the customer forfeit crisis based on the optimized fuzzy decision tees. The experiment results show that this approach is feasible and effective, which provides a new idea for analyzing and forecasting the customer forfeit crisis and help managers make better decision in business strategy