案例推理在在线物流资源决策中的应用研究

文中在在线分析过程(OLAP)与数据挖掘(data mining)技术的基础上．提出了基于案例推理(CBR)的决策模型去解决这类问题．模型采用模糊神经网络方法进行决策问题的特征提取和创建案例库，采用OLAP技术建立案例查询的星型模型，并通过创建的模糊神经网络模型去补偿匹配案例与决策问题之间的差异．文章的最后通过应用实例表明了该系统的有效性和可行性．

Research and Implement of Case-based Reasoning in Online Logistics Resource Decision

This paper puts forward OLAP and data mining technology to solve online logistics decision problems,and establishes a CBR model.In the CBR model,it uses fuzzy clustering method to pick up characters;udses OLAP star schema to establish a case-searching model;and adopts fuzzy neural network to compensate the differences between case-searching and decision-making problems.in the end,an application illustrates the validity and feasibility of the proposed model.