欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
通过不同决策类之间的比较首先寻找核属性,进而以核属性为基础构造不含核属性的布尔区分矩阵,并利用吸收律和去重操作简化区分矩阵;然后以区分矩阵为基础,采用类似关联规则挖掘的Apriori算法思想逐级寻找系统的所有约简。理论分析和实验表明算法是正确且有效率的。
英文摘要：
First we search the core attributes by the comparison between different decisionmaking class, and then we construct discernible Boolean matrix without core attributes but based on core attributes, and use the absorption rules and deemphasis operation to simplify the dis cernible matrix, after that we take discernible matrix as the basis and use the thought of Apriori algorithm similar to association rule mining to find all reduction step by step. Theoretical analysis and experiments show that the algorithm is correct and efficient.
同期刊论文项目
同项目期刊论文
期刊信息
位置：