【摘要】 概念格是数据分析与规则提取的一种有效工具 .但是在实际应用中由于需要处理的数据是海量的 ,使得直接基于概念格上提取规则的冗余度过大 ,造成机器计算时间和空间的浪费 .而粗集理论在数据预处理和不确定性规则提取等方面表现出很强的优势 .因此 ,为了减少人力物力的浪费 ,本文提出了一种应用粗集理论构造概念格的算法 ,且指出了该算法的优点及存在的不足更多还原

【Abstract】 A concept lattice is an efficient tool for data analysis and rule extraction, but in factual application the data which are wanted to be dealt with are magnanimity, so it results in too much redundancy of extracting rules immediately based upon concept lattice and brings to the waste of the computing space and the computing time of the computer. Rough set theory has the strong competence to deal with data pretreatment and distill the incertitude rules. Consequently, in order to reduce the waste of manpower and material resource, the paper proposed a method which applied rough set to construct the concept lattice, and gave out the goodness and fault of the algorithm.更多还原