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粗糙集理论与图形匹配相结合的规则提取方法
引用本文:李晓霞.粗糙集理论与图形匹配相结合的规则提取方法[J].河西学院学报,2009,25(2).
作者姓名:李晓霞
作者单位:河西学院计算机系,甘肃,张掖,734000
摘    要:文章提出了在粗糙集理论中规则提取的新方法——利用图形的匹配来提取规则.粗糙集理论在数据分类应用中的主要思想是保持分类能力不变的情况下,利用等价类,通过属性约简和决策规则约简,达到挖掘知识并简化知识的目的.

关 键 词:粗糙集  图形匹配  规则提取

Rules Extraction Based on the Combination of Rough Set Theory and Graph Matching
Li Xiao-xia.Rules Extraction Based on the Combination of Rough Set Theory and Graph Matching[J].Journal of Hexi University,2009,25(2).
Authors:Li Xiao-xia
Institution:Computer Department;Hexi University;Zhangye;Gansu 734000
Abstract:This paper presents a new method for rules extraction in the rough set theory,namely,using graph matching to mine rules.The application of the rough set theory for data classification is to utilize equivalence relation classes through attribution reduction and decision rule reduction,and to obtain knowledge and the reduction of knowledge in the case of keeping the same ability for Classification.
Keywords:Rough set  Graph matching  Rules extraction  
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