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基于改进遗传算法的制造资源关联规则挖掘
引用本文:王斌,谢庆生.基于改进遗传算法的制造资源关联规则挖掘[J].计算机集成制造系统,2007,13(6):1153-1157,1195.
作者姓名:王斌  谢庆生
作者单位:[1]盐城工学院UGS学院,江苏盐城224001 [2]贵州大学CAD/CIMS工程技术中心,贵州贵阳550003
基金项目:国家高技术研究发展计划(863计划) , 国家自然科学基金 , 国家发展和改革委员会资助项目
摘    要:为满足基于应用服务提供商平台的制造资源管理和决策的需求,提出了网络制造资源模糊关联规则的挖掘模式.根据应用领域数据类型的特点,提出了制造资源管理数据预处理方法,并建立了应用服务提供商平台制造资源虚拟数据仓库.针对制造资源关联规则的挖掘,提出了一种新型的遗传算法.最后,通过实例验证了基于改进遗传算法的模糊关联规则挖掘在基于应用服务提供商平台制造资源管理中的决策意义.

关 键 词:模糊关联规则  遗传算法  应用服务供应商  制造资源管理  数据仓库  改进  遗传算法  制造资源  模糊关联规则挖掘  improved  genetic  algorithm  based  mining  决策意义  实例验证  关联规则的挖掘  虚拟数据仓库  预处理方法  管理数据  数据类型  应用服务提供商  挖掘模式  网络  需求  资源管理  平台
文章编号:1006-5911(2007)06-1153-05
收稿时间:2006-05-24
修稿时间:2006-05-242006-08-08

Manufacturing-resources-oriented association rules mining based on improved genetic algorithm
WANG Bin,XIE Qing-sheng.Manufacturing-resources-oriented association rules mining based on improved genetic algorithm[J].Computer Integrated Manufacturing Systems,2007,13(6):1153-1157,1195.
Authors:WANG Bin  XIE Qing-sheng
Affiliation:1. School of UGS, Yancheng Institute of Technology, Yancheng 224001, China; 2. CAD/CIMS Institute, Guizhou University, Guiyang 550003, China
Abstract:To meet the requirements of the Application Service Provider(ASP)-based manufacturing resources management and decision-making,a fuzzy-association-rules-oriented mining model was proposed.According to the characteristics of the ASP-based data,a new data preprocessing method was put forward,and a virtual data warehouse based on ASP manufacturing resources was constructed.To deal with the fuzzy association rules mining on ASP data warehouse,a novel Genetic Algorithm(GA)-based mining method was introduced.Finally,a case was employed to demonstrate the applicability of fuzzy association rules mining in ASP-based manufacturing resources management.
Keywords:fuzzy association rules  genetic algorithm  application service provider  manufacturing resources management  data warehouse
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