DM技术与OLAP技术是电力营销决策支持系统中的关键数据分析技术，二者有机结合构成的多维数据挖掘模型能提高数据分析的效果和性能。

The DM and OLAP are the critical techniques of data analysis, the multi dimensional data mining model combining both techniques can enhance the performance and effects of data analysis.

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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。

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.

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在此基础上，建立了基于技术与规模同时有效的多投入多产出的C2R数据包络分析决策模型。

Then a C2R Data Envelopment Analysis (DEA) decision model with multi-input and output was built to assess whether technique and scale were simultaneously efficient.

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