Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1421-1427

Three-way decisions model and rule acquisition method for incomplete composite decision system

Qian Wenbina,b
Peng Lishaa
Wang Yinglonga
Duan Delinb
a. School of Computer & Information Engineering, b. School of Software, Jiangxi Agricultural University, Nanchang 330045, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0806

Abstract

The existing three-way decisions mainly focus on various types of complete information systems or incomplete single-type information systems, while the data in the real application fields often exhibit incompleteness and complexity. Therefor this paper proposed the three-way decisions model and rule acquisition method for incomplete composite decision system based on a new complete neighborhood tolerance relation. First, this algorithm designed a new complete neighborhood tolerance classes under the incomplete mixed data, which could substitute for equivalence classes to calculate the conditional probabilities in the classical three-way decisions model. Then, it improved the concept of the loss function interval to obtain different thresholds of each object under the optimistic, compromising and pessimistic decisions and constructed there three-way decisions models and rule acquisition method under three decision-making risks for the incomplete composite decision system. Finally, this paper analyzed the validity and interpretable of the proposed algorithm in detail by a series of theoretical analysis and a medical diagnosis example. The experimental results based on different datasets show that the proposed model outperforms the state-of-the-art models in terms of classification process and expands the theory and application of three-way decisions and knowledge discovery.

Foundation Support

国家自然科学基金资助项目(61502213,61662023,71461013)
江西省自然科学基金资助项目(20161BAB212049)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0806
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Algorithm Research & Explore
Pages: 1421-1427
Serial Number: 1001-3695(2020)05-027-1421-07

Publish History

[2020-05-05] Printed Article

Cite This Article

钱文彬, 彭莉莎, 王映龙, 等. 不完备混合决策系统的三支决策模型与规则获取方法 [J]. 计算机应用研究, 2020, 37 (5): 1421-1427. (Qian Wenbin, Peng Lisha, Wang Yinglong, et al. Three-way decisions model and rule acquisition method for incomplete composite decision system [J]. Application Research of Computers, 2020, 37 (5): 1421-1427. )

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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