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Fuzzy Decision Tree Algorithm for Customer Knowledge Management of PLM

机译:PLM客户知识管理的模糊决策树算法

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摘要

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.
机译:与PLM(产品生命周期管理)的客户知识管理(CKM)中基于产品的信息获取模型相比,本文提出了一种新的以客户为中心的模型,可以实现客户的模棱两可和不确定性知识。为了展示来自多个客户表的数据集的结构,本文提出了用于CKM的模糊决策树(FDT)算法,以预测谁是重要或潜在的消费者。实验结果表明,该方法对CKM的分类和预测具有较强的鲁棒性。

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