Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3300-3303,3309

Attribute reduction based on dependency degree for interval-set decision information tables

Tang Pengfeia,b
Zhang Xianyonga,b
Mo Zhiwena,b
a. School of Mathematical Sciences, b. Institute of Intelligent & Quantum Information, Sichuan Normal University, Chengdu 610066, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0135

Abstract

Interval-set decision information tables extend classical decision information tables. However, few studies have focused on its heuristic reduction. To solve the problem in interval-set decision information tables, this paper proposed attribute reduction and its heuristic reduction algorithm by adopting the model positive region and corresponding dependency degree. In the interval-set rough set model, it defined the positive region and dependency degree for decision classification, and proved the granulation monotonicity. It established attribute reduction based on the dependency degree and designed a heuristic reduction algorithm. The instance analysis and the experimental results show that the proposed attribute reduction algorithm is effective. The obtained results are useful for dependency learning and feature optimization.

Foundation Support

国家自然科学基金资助项目(61673258,11671284)
四川省科技基金资助项目(2021YJ0085,2019YJ0529,2020YFG0290)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0135
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Algorithm Research & Explore
Pages: 3300-3303,3309
Serial Number: 1001-3695(2021)11-017-3300-04

Publish History

[2021-11-05] Printed Article

Cite This Article

唐鹏飞, 张贤勇, 莫智文. 基于依赖度的区间集决策信息表属性约简 [J]. 计算机应用研究, 2021, 38 (11): 3300-3303,3309. (Tang Pengfei, Zhang Xianyong, Mo Zhiwen. Attribute reduction based on dependency degree for interval-set decision information tables [J]. Application Research of Computers, 2021, 38 (11): 3300-3303,3309. )

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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