The thesis studies the generalized rough set models and proposes a multi-level rough set approximation model CBM-RS based on a covering of the universe.
作者研究了粗糙集扩展理论，提出了一种多层粗糙集模型CBM-RS。 该模型是一种基于覆盖的扩展的多层粗糙集模型。
A fusion of rough set (RS) in soft computing method and analytical hierarchy process (AHP) is studied for the intellectualization of the decision-making of weapon system scheme.
致力于武器系统方案决策智能化，研究了智能软计算中的粗集方法(RS)与层次分析法(ahp)的融合问题。
The thesis also examines the rough set model based on classification accuracy. The MIE-RS data mining approach given later is based on the model.
另外，作者提出了基于分类正确度的粗糙集模型，该模型已用于作者研制的数据挖掘方法MIE-RS上。
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