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《Computer Knowledge and Technology》 2009-16
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Research of Rough Set-Simplifying Based on PSO

LI Wen,KONG Fan-lin (Software Institute of Dalian Jiaotong University,Dalian 116028,China)  
With the applications of rough set theory becoming more and more widely,looking for an appropriate method of Rough SetSimplifying has become a key issue,while this study has also become a bottleneck of rough set theory. The new optimization which originates from a simple simulation of social systems is particularly attractive in this problem. In this paper,genetic algorithms (GA) are used to evaluate the effectiveness of particle swarm optimization and found that,PSO may do some better in specific situations.
【Fund】: 国家基金项目(牵引电机传动系统振动与噪声分数阶控制研究 项目编号:6087009);; 辽宁省教育厅研究项目(交流电机控制系统振动抑制方法研究 项目编号:20060111)
【CateGory Index】: TP18
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 Li Aiguo 1,2 Qin Zheng 1 Bao Fumin 1 He Shengping 11 (Department of Computer Science,Xi'an Jiaotong University,Xi'an710049) 2 (Department of Computer Science,Xi'an University of Science and Technology,Xi'an710054);Particle Swarm Optimization Algorithms[J];Computer Engineering and Applications;2002-21
2 DAI Jian hua , LI Yuan xiang ( State Key Laboratory of Software Engineering Wuhan University, Wuhan 430072, China) (Departement of Computer Science and Technology Wuhan University, Wuhan 430072, China);An Algorithm for Reduction of Attributes in Decision System Based on Rough Set[J];Mini-micro Systems;2003-03
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Chinese Journal Full-text Database 5 Hits
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