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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 10

Test cost sensitive attribute reduction algorithm preserving decision domain

Luo Zhihao1
Ye Jun1
Zhan Shiying2
1. School of Information Engineering, Nanchang Institute of Technology, Nanchang Jiangxi 330099, China
2. Jiangxi Province Key Laboratory of Smart Water Conservancy, Nanchang 330000, China
DOI: 10.19734/j.issn.1001-3695.2025.03.0085

Abstract

Aiming at the problem that attribute reduction methods based on test cost sensitivity may change the decision domain, this paper introduced the concept of decision domain distribution preservation, combining the cost of obtaining data, proposed a test cost probability neighborhood rough set attribute reduction algorithm that preserves the decision domain. Firstly, this paper defined a probability neighborhood conditional information quantity with monotonic (α, β) positive domain distribution based on conditional information quantity and used it to obtain the core attributes of the decision table; Secondly, gave a method to measure attribute importance using neighborhood conditional entropy and constructed a attribute influence evaluation indicators based on attribute importance and the testing cost of the attribute itself. Then, used the core attribute set as the initial set, added the attribute with the high importance and low testing cost to the core set, and the reduced subset is output through iteration. The case analysis and experimental results on the UCI datasets show that compared with the comparative algorithm, the proposed algorithm obtains a reduced subset with lower testing cost without reducing classification accuracy, and the decision domain distribution remains unchanged.

Foundation Support

国家自然科学基金资助项目(62166027)
江西省教育厅科技项目(GJJ211920)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.03.0085
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 10

Publish History

[2025-06-17] Accepted Paper

Cite This Article

罗致豪, 叶军, 詹诗颖. 一种保决策域的测试代价敏感属性约简算法 [J]. 计算机应用研究, 2025, 42 (10). (2025-06-19). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0085. (Luo Zhihao, Ye Jun, Zhan Shiying. Test cost sensitive attribute reduction algorithm preserving decision domain [J]. Application Research of Computers, 2025, 42 (10). (2025-06-19). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0085. )

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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