模糊关联规则格的规则提取

Rules extraction of fuzzy association rules lattice

针对模糊属性事务数据库提取模糊关联规则的问题,采用模糊概念格与模糊关联规则相结合的方法,实现格节点与属性项集的对应关系,提出模糊关联规则格理论,在渐进式建格算法基础上对格节点相应修改,给出了适用于动态数据库的模糊关联规则格的构建思想.利用模糊关联规则格挖掘关联规则,与采用Apriori算法计算频繁项目集获取规则相比较,容易获得用户感兴趣的关联规则,同时减少冗余规则的生成,使挖掘算法得到优化.

In order to extract the fuzzy association rules from the fuzzy attribute transaction databases, using the method of combining fuzzy concept lattice and fuzzy association rules, this paper realized the corresponding relation between grid nodes and attribute itemsets, defined the concept of fuzzy association rules lattice, and gave its gradual building construction thought suitable for dynamic database through modifying the nodes. Compared with using Apriori algorithm, it is easy to obtain the association rules in which users are interested. At the same time it reduces redundant rules of the formation, and improves the efficiency of the mining.