The application of grey data mining model in the management and decision of logistics enterprises has proved that the grey forecasting model and clustering model is effective and of practical value.
灰色数据挖掘模型在物流企业的管理决策问题中的应用证明了基于灰色系统理论的灰色预测和聚类模型是有效的、具有实用价值的数据挖掘模型。
This article introduces grey theory into logistics trade, and builds data mining model based on grey theory to solve the practical problem in logistics enterprises' management and decision.
本文提出灰色系统的理论与方法在物流行业的应用,针对物流企业管理决策的实际问题建立基于灰色系统理论的数据挖掘模型。
Absrtact: Rough sets and grey theory have advantages in the field of data mining, but their ultimate goal is to discover knowledge.
摘要:粗糙集和灰色理论在数据挖掘领域各有优点,它们最终目标都是为了发现知识。
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