| 区间值关系数据库上模糊关联规则的预测方法 |
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| 引用本文： | 陆建江,张文献.区间值关系数据库上模糊关联规则的预测方法[J].计算机工程与应用,2003,39(12):197-199,211. |
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| 作者姓名： | 陆建江 张文献 |
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| 作者单位： | 1. 解放军理工大学通信工程学院,南京,210007
2. 解放军理工大学理学院,南京,210007 |
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| 基金项目： | 国家自然科学基金重点项目资助(编号:69931040) |
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| 摘 要： | 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。采用一种比RFCM算法省时的FCMdd算法将记录在属性的取值划分成若干个模糊集,并提出区间值关系数据库上模糊关联规则的挖掘算法。仿真实例说明挖掘算法能够通过挖掘有意义的模糊关联规则来发现区间值关系数据库中蕴涵的关联性。区间值关系数据库上模糊关联规则的预测方法改进了标准可加性模型,并通过遗传算法调整模糊关联规则中三角模糊数的参数来提高预测的精度。
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| 关 键 词： | 区间值 数据挖掘 模糊关联规则 预测 |
| 文章编号： | 1002-8331-(2003)12-0197-03 |
Prediction Method of Fuzzy Association Rules in Interval Valued Relational Database |
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| Lu Jianjiang,Zhang Wenxian.Prediction Method of Fuzzy Association Rules in Interval Valued Relational Database[J].Computer Engineering and Applications,2003,39(12):197-199,211. |
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| Authors: | Lu Jianjiang Zhang Wenxian |
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| Affiliation: | Lu Jianjiang 1 Zhang Wenxian 21 |
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| Abstract: | Mining algorithm and prediction method of fuzzy association rules are discussed in this paper.Fuzy relative of the k-medoids algorithm,which costs less time ,is adopted to partition values of the record in attribute into several fuzzy sets,and mining algorithm of fuzzy association rules in interval valued relational database is provided.Simulation example shows that this mining algorithm can discover the relationship contained in interval valued relational database by mining interesting fuzzy association rules.Prediction method of fuzzy association rules in interval valued relational database im-proves inference method of standard additive model,and genetic algorithm is applied to improve prediction accuracy by adjusting triangular fuzzy numbers in fuzzy association rules. |
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| Keywords: | Interval values Data mining Fuzzy association rules Prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
