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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 1

Attribute reduction of multi-fuzzy β covering rough sets

Chen Zhanwei
Li Juan
Zhao Xinyuan
School of Computer Science & Technology, Xinjiang Normal University, Urumqi 830054, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0182

Abstract

To address the issues of the classical fuzzy β covering rough set, such as the lower approximation not necessarily being included in the upper approximation, and the difficulty of a unified threshold β in adapting to different data distributions when extending fuzzy β covering to multi-fuzzy β covering, a multi-scale threshold method is introduced in combination with fuzzy β neighborhoods to propose a reduction method based on multi-fuzzy β covering rough sets. First, the similarity between samples is characterized using fuzzy β neighborhoods, and a granular structure satisfying the inclusion relationship of fuzzy upper and lower approximations is constructed based on these neighborhoods. Second, a multi-scale threshold β set is designed to accommodate the differences in data distribution that may arise in the construction of fuzzy covering approximation spaces. Finally, comparative experiments are conducted on 12 public datasets between the proposed algorithm and four other algorithms. The experimental results show that the proposed algorithm performs well in terms of reduction length, classification accuracy, and stability. It effectively simplifies data and provides a new option for dealing with complex uncertain information.

Foundation Support

国家自然科学基金资助项目(62066044)
2025年自治区研究生教育创新计划资助项目(XJ2025G209)
新疆师范大学智慧教育工程技术研究中心资助项目(XJNU-ZHJY202410)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0182
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 1

Publish History

[2025-09-13] Accepted Paper

Cite This Article

陈战伟, 李娟, 赵新元. 多模糊β覆盖粗糙集的属性约简方法 [J]. 计算机应用研究, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0182. (Chen Zhanwei, Li Juan, Zhao Xinyuan. Attribute reduction of multi-fuzzy β covering rough sets [J]. Application Research of Computers, 2026, 43 (1). (2025-09-17). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0182. )

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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