| 基于模糊分类关联规则的分类系统 |
| |
| 引用本文： | 邹晓峰,陆建江,宋自林.基于模糊分类关联规则的分类系统[J].计算机研究与发展,2003,40(5):651-656. |
| |
| 作者姓名： | 邹晓峰 陆建江 宋自林 |
| |
| 作者单位： | 1. 解放军理工大学指挥自动化学院,南京,210007
2. 解放军理工大学指挥自动化学院,南京,210007;东南大学计算机科学与工程系,南京,210096 |
| |
| 基金项目： | 国家自然科学基金重点项目 (6993 10 40 ) |
| |
| 摘 要： | 为了构建高性能的分类系统，应用模糊集软化数量型属性的划分边界，提出了模糊分类关联规则的挖掘算法。由于模糊集能很好地贴近人类的思维方式，因此挖掘得到的模糊分类关联规则易于被人理解．接着提出了基于模糊分类关联规则的分类系统，并采用遗传优化算法训练分类系统．实例分析的结果表明，基于模糊分类关联规则的分类系统具有较好的精度和可解释性．
|
| 关 键 词： | 数据挖掘 模糊关联规则 遗传算法 分类系统 |
A Classification System Based on Fuzzy Class Association Rules |
| |
| ZOU Xiao Feng ,LU Jian Jiang ,and SONG Zi Lin.A Classification System Based on Fuzzy Class Association Rules[J].Journal of Computer Research and Development,2003,40(5):651-656. |
| |
| Authors: | ZOU Xiao Feng LU Jian Jiang and SONG Zi Lin |
| |
| Affiliation: | ZOU Xiao Feng 1,LU Jian Jiang 1,2,and SONG Zi Lin 1 1 |
| |
| Abstract: | In order to build a high performance classification system, fuzzy sets are applied to soften the partition boundary of quantitative attributes, and an algorithm for mining fuzzy class association rules is proposed Because fuzzy sets are much closer to human thinking, fuzzy class association rules mined are easily understandable to human Then a classification system based on fuzzy class association rules is proposed, and a genetic algorithm is used to train the classification system Finally some results of instance analysis are given to prove that the classification system has good accuracy and interpretability |
| |
| Keywords: | data mining fuzzy association rules genetic algorithm classification system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
