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| 基于HCM聚类的连续域模糊关联算法 | |
| 引用本文： | 张荣虎,崔梦天,钟勇.基于HCM聚类的连续域模糊关联算法[J].计算机工程,2011,37(1):161-163. |
| 作者姓名： | 张荣虎 崔梦天 钟勇 |
| 作者单位： | 1. 四川邮电职业技术学院计算机系,成都,610067 2. 西南民族大学计算机科学与技术学院,成都,610041;中国科学院成都计算机应用研究所,成都,610041 3. 中国科学院成都计算机应用研究所,成都,610041 |
| 基金项目： | 中国科学院“西部之光”人才培养基金资助项目；四川省科技攻关基金资助项目(07GG006-014)；四川省科技攻关基金资助项目(2008GZ0003) |
| 摘 要： | 针对粗糙集对于连续域属性决策表的处理能力差以及不容易获得模糊集之间关系等问题，提出一种基于连续型属性模糊关联规则约简算法。该算法引入三角隶属度函数将连续属性值转化为模糊值，并使用硬C均值聚类方法获得数据集之间关系，采用遗传算法优化该模型。仿真结果验证了该模型的有效性。 |
| 关 键 词： | 模糊关联规则 连续域 遗传算法 硬C均值 |
Continuous Domain Fuzzy Association Algorithm Based on HCM Clustering |
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| ZHANG Rong-hu,CUI Meng-tian,ZHONG Yong.Continuous Domain Fuzzy Association Algorithm Based on HCM Clustering[J].Computer Engineering,2011,37(1):161-163. | |
| Authors: | ZHANG Rong-hu CUI Meng-tian ZHONG Yong |
| Affiliation: | (1. Dept. of Computer Science, Sichuan Post and Communication College, Chengdu 610067, China; 2. School of Computer Science & Technology, Southwest University for Nationalities, Chengdu 610041, China; 3. Chengdu Institute of Computer Applications, Chinese Academy of Sciences, Chengdu 610041, China) |
| Abstract: | Aiming at the problems of low processing capability of rough sets to continuous domain attribute decision table and not easy to obtain relationship of fuzzy sets, a new method of continuous attribute reduction algorithms is proposed, based on combining fuzzy set with rough set. Continuous attribute values are transformed into fuzzy values with triangular membership function. And Hard C-Means(HCM) clustering is used to obtain relationship among the fuzzy sets and Genetic Algorithms(GA) is used to optimize the model. Simulation results show the effectiveness of the proposed model. |
| Keywords: | fuzzy association rule continuous domain Genetic Algorithm(GA) Hard C-Means(HCM) |
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