Mining algorithm and prediction method of fuzzy association rules are discussed in this paper.
讨论了区间值关系数据库上模糊关联规则的挖掘算法与预测方法。
As for quantitative attributes, they are divided into several fuzzy sets by the competitive agglomeration algorithm, and then the algorithm for mining weighted fuzzy association rules is provided.
对数量型属性，应用竞争聚集算法将数量型属性划分成若干个模糊集，并系统地提出加权模糊关联规则的挖掘算法。
Using the Fuzzy Cluster method, Hybrid Fuzzy Neural Network, Association rules mining methods, etc. find and excavate the recipes, periodic fouling, and operation strategy rule in the batch process.
分别使用模糊聚类方法、混合模糊神经网络、关联规则挖掘等知识发现方法对间歇过程中的配方、周期性污垢、操作策略规则等进行挖掘和处理。
Based on the above problem this paper presented a method called association rules mining with fuzzy quantitative constraints.
基于上述问题，提出了一个基于模糊数值约束的关联规则挖掘方法，实际挖掘结果表明这种方法是有效的。
Mining association rules in databases is the hot point in people's researches and the application of fuzzy-set theory has added new energy into the field.
数据库中关联规则挖掘一直是人们研究的热点，而模糊集理论的应用又为这一领域注入了新的活力。
Mining association rules in databases is the hot point in people's researches and the application of fuzzy-set theory has added new energy into the field.
数据库中关联规则挖掘一直是人们研究的热点，而模糊集理论的应用又为这一领域注入了新的活力。
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