Abstract: A scheme of data mining based on fuzzy logic rule is proposed. The fuzzy logic rule that can describe the relationship between data variab-les is found. The method uses discovery-based algorithms to determine the relationships, patterns, and associations in the data. More specifically in the context of rule-based systems, data mining automatically generates rules for an application of debit and credit of banks.

摘要： 分析了模糊逻辑规则的形成过程，介绍了模糊推理方法，提出了基于模糊规则化的数据挖掘方法。由分析可以看出，基于模糊逻辑规则的方法能从大量的数据集合中有效地发现有价值但不明显的信息并挖掘出有价值的信息。例如，在银行借贷中，根据数据库中的数据对借贷方进行评估，挖掘出影响贷款安全的有关单位信息等。

关键词: 模糊逻辑, 规则获取, 数据挖掘

CLC Number: 

• TP311.131