Fuzzy Decision Tree Algorithm for Customer Knowledge Management of PLM

Compared with the information acquisition model based on product-centered in Customer Knowledge Management (CKM) of PLM (Product Life-Cycle Management), this paper proposes a new client-centered model which achieves the customer´s ambiguous and uncertainty knowledge. In order to present the structure for the dataset which is from several the customer´s tables, this paper proposes Fuzzy Decision Tree (FDT) algorithm for CKM to predict who the important or potential consumers are. The experimental result shows that the proposed method can be stronger and robust for classification and prediction in CKM.