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一种基于并行遗传算法的粗糙集属性约简
引用本文:吕跃进,刘南星,陈磊.一种基于并行遗传算法的粗糙集属性约简[J].计算机科学,2008,35(3):219-221.
作者姓名:吕跃进  刘南星  陈磊
作者单位:广西大学数学与信息科学学院,南宁,530004
基金项目:广西大学校科研和教改项目
摘    要:指出现有粗糙集属性约简算法的不足,考虑并行遗传算法在处理大型数据库上的特有优势,将粗糙熵作为粗糙集不确定性的度量,给出一种求解信息系统约简集的三群体并行遗传算法.最后通过实例计算表明该算法能快速有效求解属性约简,而且对大规模数据样本的信息系统效果更为明显.

关 键 词:粗糙集  粗糙熵  属性约简  并行遗传算法

Rough Set Attribute Reduction Algorithm Based on PGA
LV Yue-Jin,LIU Nan-Xing,CHEN Lei.Rough Set Attribute Reduction Algorithm Based on PGA[J].Computer Science,2008,35(3):219-221.
Authors:LV Yue-Jin  LIU Nan-Xing  CHEN Lei
Abstract:Reduction of attribute is one of the important topics in the search of rough set theory. Although many algorithms for reduction of attribute have been proposed,most of them have some defects. On the other hand,parallel genetic algorithm has some advantages to deal with huge data sets. In this paper,rough entropy is used to measure the uncertainties of rough set. Then a new three population parallel genetic algorithm is presented to solve reduction of attribute from data sets. It is testified by the experime...
Keywords:Rough set  Rough entropy  Reduction of attribute  Parallel genetic algorithm  
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