A New Robust Classification Method for CRM
Xiaoyu Li, Changzheng He, Panos Liatsis · 2010
Customer classification is a key step in customer relationship management (CRM), and there are many methods used for it, such as Neural Net, association rules, SOM model, etc. However, most existing methods don't take noise which is very common in reality into consideration. In this paper, we combine Croup Method of Data Handling (GMDH) with Takagi and Sugeno fuzzy model (TS) to form a new classification method TS-GMDH. The experimental result shows that TS-GMDH outperforms the benchmark classifiers when the noise level is high.