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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3570-3573

Neighborhood rough set attribute reduction algorithm based on matrix reservation strategy

Gao Yang
Liu Zunren
Ji Jun
College of Computer Science & Technology, Qingdao University, Qingdao Shandong 266071, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0390

Abstract

For an attribute reduction algorithm based on the neighborhood rough set model, the calculation of the positive region is the necessary basis of its efficient performance and the uppermost part of its time cost. In order to reduce the time overhead of the algorithm, this paper improved the positive region calculation of the existing algorithm FHARA, adopted the reservation strategy and used the matrix to preserve the square of the calculated values. It improved the original n-dimensional computation to 1 dimensional computation, which reduced the computation time of each metric calculation. On this basis, it proposed a neighborhood rough set attribute reduction algorithm based on the matrix reservation strategy. Finally, the algorithm was verified by multiple UCI data sets. Compared with existing algorithms, the experimental results show that the proposed algorithm can get the attribute reduction of the dataset more effectively and quickly for most data sets.

Foundation Support

国家自然科学基金资助项目(61503208)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0390
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3570-3573
Serial Number: 1001-3695(2019)12-010-3570-04

Publish History

[2019-12-05] Printed Article

Cite This Article

高阳, 刘遵仁, 纪俊. 基于矩阵保留策略的邻域粗糙集属性约简算法 [J]. 计算机应用研究, 2019, 36 (12): 3570-3573. (Gao Yang, Liu Zunren, Ji Jun. Neighborhood rough set attribute reduction algorithm based on matrix reservation strategy [J]. Application Research of Computers, 2019, 36 (12): 3570-3573. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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