首页 | 本学科首页   官方微博 | 高级检索  
     

基于模糊聚类的模糊关联规则在流程企业中的应用
引用本文:闫伟,张浩,陆剑峰. 基于模糊聚类的模糊关联规则在流程企业中的应用[J]. 计算机应用, 2005, 25(11): 2676-2678
作者姓名:闫伟  张浩  陆剑峰
作者单位:同济大学,CIMS研究中心,上海,200092;上海电力学院,电力与自动化学院,上海,200092
基金项目:国家863计划项目(2002AA412410)
摘    要:采用数据挖掘中的模糊聚类分析了流程企业中历史数据的区间值,然后用模糊关联规则挖掘出有用的规则。首先阐述了模糊聚类的RFCM算法和关联规则的Apriori算法的内容,分析了实现模糊关联规则的Fuzzy_ClustApriori算法流程,并用RFCM算法对实际数据进行分析,得到不同类别的模糊数。根据Fuzzy_ClustApriori算法的步骤对模糊化的参数点进行处理,得到了有价值的模糊规则,为流程企业的生产优化提供了理论依据。

关 键 词:数据挖掘  模糊聚类  模糊关联规则  RFCM算法  fuzzy_ClustApriori算法  流程企业
文章编号:1001-9081(2005)11-2676-03
收稿时间:2005-05-18
修稿时间:2005-05-18

Mining fuzzy association rules for processing industry based on fuzzy clustering
YAN Wei,ZHANG Hao,LU Jian-feng. Mining fuzzy association rules for processing industry based on fuzzy clustering[J]. Journal of Computer Applications, 2005, 25(11): 2676-2678
Authors:YAN Wei  ZHANG Hao  LU Jian-feng
Affiliation:1.CIMS Center,Tongji University,Shanghai 200092,China;2.School of Electric Power and Automatic Engineering,Shanghai University of Electric Power,Shanghai 200092,China
Abstract:To optimize processing industry's production,the large history data were analyzed by fuzzy association rules.Firstly,the RFCM algorithm and Apriori algorithm were expounded.The production parameters were fuzzed by fuzzy clustering algorithm.Depending on Fuzzy_ClustApriori algorithm,the fuzzy association rules were studied and implemented in processing industry.Then the valuable fuzzy rules were got.Based on the rules,the production of processing industry can be improved.
Keywords:data mining   fuzzy clustering   fuzzy association rules   RFCM algorithm   Fuzzy ClustApriori algorithm   processing industry
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机应用》浏览原始摘要信息
点击此处可从《计算机应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号