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制造决策的知识融合粗糙集模型
引用本文:徐晓,翟敬梅,刘海涛,康博.制造决策的知识融合粗糙集模型[J].华南理工大学学报(自然科学版),2011,39(8):36-41.
作者姓名:徐晓  翟敬梅  刘海涛  康博
作者单位:华南理工大学机械与汽车工程学院,广东广州,510640
基金项目:国家“863”计划项目(2009AA043901)
摘    要:由于制造系统的复杂性和不确定性,单一的知识建模或数据挖掘建模都面临着知识或数据信息的不完备.为有效、充分地利用已有信息减少不确定性,文中提出了知识和数据挖掘相融合的建模思想,将知识嵌入到粗糙集模型中,建立了知识的函数关系,给出了基于不可分辨-函数关系的粗糙集决策模型,研究了不可分辨-函数关系下的知识分类和推理.相比原粗...

关 键 词:决策  知识融合  粗糙集  不可分辨-函数关系

A Knowledge-Based Rough Set Model for Manufacturing Decision
Xu Xiao,Zhai Jing-mei,Liu Hai-tao,Kang Bo.A Knowledge-Based Rough Set Model for Manufacturing Decision[J].Journal of South China University of Technology(Natural Science Edition),2011,39(8):36-41.
Authors:Xu Xiao  Zhai Jing-mei  Liu Hai-tao  Kang Bo
Institution:Xu Xiao Zhai Jing-mei Liu Hai-tao Kang Bo(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China)
Abstract:Due to the complexity and uncertainties of the manufacturing system,both the knowledge modeling and the data mining modeling are restricted by incomplete knowledge and data.In this paper,in order to reduce the uncertainties by making full and effective use of the known information,an modeling idea of integrating the knowledge with the data mining is proposed to embed the knowledge into the rough set model,with the function relations of the knowledge established.Then,based on the indiscernibility relations a...
Keywords:decision  knowledge fusion  rough set  indiscernibility-function relation  
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