The Construction Methodology of a Rule-based Expert System using CART-based Decision Tree Method
Yun-Seok Ko · The Journal of the Korea institute of electronic communication sciences · 2011
To minimize the spreading effect from the events of the system, a rule-based expert system is very effective. However, because the events of the large-scale system are diverse and the load condition is very variable, it is very difficult to construct the rule-based expert system. To solve this problem, this paper studies a methodology which constructs a rule-based expert system by applying a CART(Classification and Regression Trees) algorithm based decision tree determination method to event case examples.