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Algorithm Research & Explore
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1047-1051

Novel method to attribute reduction based on information entropy weighting

Luo Fan
Jiang Yu
College of Software Engineering, Chengdu University of Information Technology, Chengdu 610200, China

Abstract

Aiming at the problem that attributes in the existing neighborhood rough set model all have the same weight, which cannot ensure that the key attributes can be retained in attribute approximation, this paper proposed an attribute approximation algorithm based on information entropy weighting. Firstly, it adopted interclass entropy and intraclass entropy strategies to assign weights to attributes based on the principle of maximising interclass entropy and minimising intraclass entropy. Secondly, it constructed a weighted neighborhood rough set model based on weighted neighborhood relationships. Finally, it assessed the importance of attribute subsets based on dependency relationships to achieve attribute simplification. Comparison experiments with other three attribute approximation algorithms on UCI-based dataset show that the proposed algorithm can effectively remove redundancy and improve classification accuracy.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0366
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Algorithm Research & Explore
Pages: 1047-1051
Serial Number: 1001-3695(2024)04-013-1047-05

Publish History

[2023-11-02] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

罗帆, 蒋瑜. 一种基于信息熵加权的属性约简算法 [J]. 计算机应用研究, 2024, 41 (4): 1047-1051. (Luo Fan, Jiang Yu. Novel method to attribute reduction based on information entropy weighting [J]. Application Research of Computers, 2024, 41 (4): 1047-1051. )

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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