Online analysis process (OLAP) technology based on data warehouse is a new decision-making analysis method in decision support system (DSS).
以数据仓库为基础的在线联机分析处理(OLAP)技术是决策支持系统(DSS)中一种新的决策分析方法。
A new TOPSIS model which based on the gray correlation coefficient matrix is presented in order to overcome the deficiency in more indicator of decision-making process.
以原始数据样本与理想方案之间的灰色关联系数矩阵为新的决策矩阵,利用理想解法对方案进行排序。
A new decision-making approach that rough set is applied to CBR is proposed to fulfill an on-line knowledge self-learning process.
因此将粗糙集应用于基于案例推理,提出基于粗糙案例推理的在线自我学习决策方法。
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