Tabu search for attribute reduction in rough set theory

doi:10.1007/s00500-007-0260-1

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	Tabu search for attribute reduction in rough set theory
	Hedar, Abdel-Rahman 1,2; Wang, Jue1,3 ; Fukushima, Masao 1
	2008-07-01
发表期刊	SOFT COMPUTING
ISSN	1432-7643
卷号	12 期号:9 页码:909-918
摘要	In this paper, we consider a memory-based heuristic of tabu search to solve the attribute reduction problem in rough set theory. The proposed method, called tabu search attribute reduction (TSAR), is a high-level TS with long-term memory. Therefore, TSAR invokes diversification and intensification search schemes besides the TS neighborhood search methodology. TSAR shows promising and competitive performance compared with some other CI tools in terms of solution qualities. Moreover, TSAR shows a superior performance in saving the computational costs.
关键词	computational intelligence granular computing attribute reduction rough set tabu search
DOI	10.1007/s00500-007-0260-1
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000255034600007
出版者	SPRINGER
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/5680
专题	系统科学研究所
通讯作者	Hedar, Abdel-Rahman
作者单位	1.Kyoto Univ, Dept Appl Math & Phys, Grad Sch Informat, Kyoto 6068501, Japan 2.Assiut Univ, Dept Comp Sci, Fac Comp & Informat Sci, Assiut, Egypt 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 710071, Peoples R China
推荐引用方式 GB/T 7714	Hedar, Abdel-Rahman,Wang, Jue,Fukushima, Masao. Tabu search for attribute reduction in rough set theory[J]. SOFT COMPUTING,2008,12(9):909-918.
APA	Hedar, Abdel-Rahman,Wang, Jue,&Fukushima, Masao.(2008).Tabu search for attribute reduction in rough set theory.SOFT COMPUTING,12(9),909-918.
MLA	Hedar, Abdel-Rahman,et al."Tabu search for attribute reduction in rough set theory".SOFT COMPUTING 12.9(2008):909-918.