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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 5
1460-1466

Three-way decisions model and incremental rule acquisition algorithm for incomplete interval-valued decision system

Liang Yanlinga,b
Tang Xiaoa,b
Gu Ruia,b
a. School of Mathematical Sciences, b. Institute of Intelligent Information & Quantum Information, Sichuan Normal University, Chengdu 610066, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0431

Abstract

In practical applications, interval data will have missing values due to measurement, interference, information transmission and other noise effects, and these data show a dynamic increasing trend over time, ignore or delete these data likely lead to the loss of useful information and misjudgment of decision making. To solve this problem, this paper proposed a three-way decisions model and an incremental rule acquisition algorithm for an incomplete interval-valued decision system. Firstly, it defined the quantitative similarity tolerance relationship of incomplete interval value data, and constructed a three-way decisions model based on the incomplete interval-valued decision system. Secondly, this paper analyzed two levels of dynamic rules of the object set to obtain the policy, and proposed an incremental rule acquisition algorithm. Finally, it used a set of UCI data sets to verify the algorithm. Experimental results show that this algorithm can not only reduce the loss of partition error, but also achieve higher partition accuracy, and has great advantages in running time.

Foundation Support

四川省科技计划资助项目(2021YJ0085,2019YJ0529)
四川省教育厅重点项目(18ZA0410)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0431
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 5
Section: Algorithm Research & Explore
Pages: 1460-1466
Serial Number: 1001-3695(2022)05-029-1460-07

Publish History

[2021-12-15] Accepted Paper
[2022-05-05] Printed Article

Cite This Article

梁艳玲, 唐孝, 古睿. 不完备区间值决策系统的三支决策模型及增量式规则获取算法 [J]. 计算机应用研究, 2022, 39 (5): 1460-1466. (Liang Yanling, Tang Xiao, Gu Rui. Three-way decisions model and incremental rule acquisition algorithm for incomplete interval-valued decision system [J]. Application Research of Computers, 2022, 39 (5): 1460-1466. )

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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