Algorithm Research & Explore
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1940-1942

Attributes reduction based on optimal approximation set of rough set

Luo Laipeng
Liu Ergen
Fan Zizhu
School of Sciences, East China Jiaotong University, Nanchang 330013, China

Abstract

To obtain the knowledge of uncertainty rules generated by the boundary region, this paper developed an attribute reduction algorithm based on the optimal approximate rough set. Firstly this paper presented the judgement and calculation of the optimal approximation set of rough set in approximate space. Secondly, it introduced the concepts of the optimal approximate distribution coordination sets and the optimal approximate distribution reduction, and discussed the relations among Pawlak attributes reduction, distribution reduction and distribution reduction based on the optimal approximation set of rough set. Finally, it obtained the conclusion that they were equivalent in the coordination decision table and the distribution reduction set based on the optipal approximation set of rough set was subset of the distribution reduction sets. Experiment results on datasets from UCI show that the attribute reduction algorithm based on the optimal approximate rough set can achieve less set of attributes.

Foundation Support

国家自然科学基金资助项目(61472138)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0856
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 1940-1942
Serial Number: 1001-3695(2019)07-004-1940-03

Publish History

[2019-07-05] Printed Article

Cite This Article

罗来鹏, 刘二根, 范自柱. 基于最优近似粗糙集的属性约简 [J]. 计算机应用研究, 2019, 36 (7): 1940-1942. (Luo Laipeng, Liu Ergen, Fan Zizhu. Attributes reduction based on optimal approximation set of rough set [J]. Application Research of Computers, 2019, 36 (7): 1940-1942. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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