摘要
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。
During the course of realizing multi-objective optimization,the method of data mining based on concept lattice was used.Gave the method of converting inventory model to the concept lattice model,presented and the incremental construction algorithm of a concrete concept lattice.For the method of data mining based on concept lattice,proposed the definition of the association rule in concept lattice,and extracted the hidden knowledge of inventory model.For the realization of multi-objective optimization of inventory model,this approach can provide the decision support.
出处
《计算机应用研究》
CSCD
北大核心
2011年第5期1745-1747,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60875034)
四川省科技厅应用基础研究资助项目(08JC0068)
关键词
库存管理
多目标优化
概念格
关联规则
inventory management
multi-objective optimization
concept lattice
association rule
