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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 1
144-147

Adaptable method for determining neighborhood size of neighborhood rough set

Peng Xiaorana
Liu Zunrenb
Ji Junb
a. College of Data Science & Software Engineering, b. College of Computer Science & Technology, Qingdao University, Qingdao Shandong 266071, China
DOI: 10.19734/j.issn.1001-3695.2017.07.0676

Abstract

The application of neighborhood rough set depends on the value of neighborhood size δ. When using attribute reduction algorithms based on neighborhood rough set, an existing method for determining δ is usually point-type, that is, to specify a value only by human experience. The method does not combine with the actual situation when it is used to determine δ, so the practicability of the algorithms can be further discussed. For this reason, this paper proposed an adaptable method for determining δ, which the biggest characteristic was not determining δ but the interval of δ. It forwardly selected the most appropriate δ in the interval by using a fitness function that was combined with the characteristics of data sets and classifiers. The experimental results show that, compared with the point-type method for determining δ, this method can find reduction sets which number of attributes is less, and classification accuracy is higher. It proves that this method can further improve the practicability of attribute reduction algorithms based on neighborhood rough set.

Foundation Support

国家自然科学基金资助项目(61503208)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.07.0676
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: System Development & Application
Pages: 144-147
Serial Number: 1001-3695(2019)01-033-0144-04

Publish History

[2019-01-05] Printed Article

Cite This Article

彭潇然, 刘遵仁, 纪俊. 自适应的邻域粗糙集邻域大小取值方法 [J]. 计算机应用研究, 2019, 36 (1): 144-147. (Peng Xiaoran, Liu Zunren, Ji Jun. Adaptable method for determining neighborhood size of neighborhood rough set [J]. Application Research of Computers, 2019, 36 (1): 144-147. )

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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