基于粗糙集的私家车潜在消费群体研究

文根据一种基于粗糙集理论的数据挖掘方法，以市场调查数据为研究对象，通过适当的约简算法，得出简化的决策集，分析私家车潜在消费者群体特征。提出了一种启发式的约简算法，在属性约简之前，首先定义了一种条件属性分类能力强度，根据各属性分类能力强度对决策表进行排序，然后采用逐行扫描的方法逐条判断属性是否为不必要属性，解决了属性约简可能出现多个约简结果需要靠人为选取满意结果的问题。

Research on potential consumer groups of private cars based on Rough Set

This paper derived a simplified set of decision-making according to rough set theory based on data mining and market survey data as the research object, through the appropriate reduction algorithm, then analyzed the characteristic of potential consumer groups of private cars. This paper also presents a heuristic reduction algorithm, before the attribute reduction, a conditional attribute classification capability strength was defined, the decision table was arranged under the classification ability of each attribute strength, and then determine whether the property is unnecessary attributes by the method of scanning, this would resolve the possible number of attribute reduction results require artificial selection problem of satisfactory results.