基于概念格的数据挖掘方法在库存管理中的应用*

库存管理是物流系统优化的一个重要内容，利用概念格的数据挖掘方法来实现多目标优化过程中，给出了库存模型向概念格模型转换的方法，提出了一种具体的概念格的渐进式构造算法；对于概念格的数据挖掘方法，具体定义了概念格中的关联规则，并提取了库存模型中的隐藏知识，进而为实现库存模型的多目标优化提供了决策支持。

Application of data mining based on concept lattice in inventory management

Inventory management is an important content in optimal of logistics system, during the course of realizing multi-objective optimization, the methord of data mining based on concept lattice is used in this paper: the method of converting inventory model to the concept lattice model is given, and the incremental construction algorithm of a concrete concept lattice is presented; for the method of data mining based on concept lattice, the definition of the association rule in concept lattice is proposed, and the hidden knowledge of inventory model is extracted, and then for the realization of multi-objective optimization of inventory model, this approach will provide the decision support.