On the basis of giving a new type of attribute reduction method, a coupling recognition model is established which combines Rough Sets and neural network closely.
在提出一种属性约简方法的基础上，利用粗糙集和径向基网络的优势，构建了一种耦合模型。
A distributed model of incremental attribute reduction is also presented by decomposing values of decision attribute of positive region and boundary region in non-tolerant decision table.
此外，通过对不相容决策表的正区域的决策值和边界域对原决策表进行分解，得到了一种分布式增量属性约简模型。
Based on the attribute reduction of rough set, from different aspects, this paper sets up indicator screening model based on rough set.
基于粗糙集的属性约简原理，本文从不同的角度建立了基于粗糙集的指标筛选模型。
This model including three modules: the data pretreatment, the attribute reduction and the rule extraction, then confirms this model's feasibility using the example.
该模型包括数据预处理、属性约简和规则提取三个模块，并利用算例验证该模型的可行性。
With the combination of attribute reduction in concept lattice, the model provides users with a semantic matching model based on concept lattice of theoretical value.
结合概念格属性约简等知识，该模型为用户提供一种有价值的基于概念格的语义匹配方法。
With the combination of attribute reduction in concept lattice, the model provides users with a semantic matching model based on concept lattice of theoretical value.
结合概念格属性约简等知识，该模型为用户提供一种有价值的基于概念格的语义匹配方法。
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