The extending model of rough sets theory.
粗糙集理论扩展模型。
Rough Sets is a important method in DataMining.
而粗集方法是数据挖掘中的一个重要方法。
Attribute reduction is the core of rough sets theory.
属性约简是粗糙集理论的核心内容。
Function s rough set is a new direction in the study of rough sets.
函数s粗集是粗集研究的一个新方向。
Attribute reduction is an important concept in rough sets data analysis.
属性约简是粗糙集用于数据分析的重要概念。
The combined method of rough sets theory and genetic algorithms is applied to data mining.
介绍应用粗集理论和遗传算法相结合进行数据挖掘的方法。
The relationship between assistant sets generation of function S-rough and assistant sets generation is discussed.
分析了函数S-粗集的副集生成与S-粗集副集生成的关系。
The relationship between assistant sets generation of function S-rough and assistant sets generation is discussed.
分析了函数S-粗集的副集生成与S-粗集副集生成的关系。
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