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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 9

Simple extended belief rule inference and decision-making method considering dual updating

Xue Min1,2,3
Huang Haolan1,2,3
Pei Jian1,2,3
Hou Bingbing4
1. School of Management, Hefei University of Technology, Hefei 230009, China
2. Key Laboratory of Process Optimization & Intelligent Decision-making, Ministry of Education, Hefei 230009, China
3. Ministry of Education Engineering Research Center for Intelligent Decision-Making & Information System Technologies, Hefei 230009, China
4. National Institute of Health Data Science, Peking University, Beijing 100191, China
DOI: 10.19734/j.issn.1001-3695.2025.02.0036

Abstract

The continuous accumulation of massive data result in traditional belief rule inference and decision-making methods unable to adapt to dynamic decision-making scenarios. This study proposed a simple extended belief rule-based inference and decision-making methodology with the consideration of dual updating. The proposed method used an evidential reasoning fusion algorithm addressed the redundancy problem in the original extended belief rule-based system by aggregating the belief distributions of the consequent attributes under the same antecedent attributes, thereby constructing a simple extended belief rule-based system. The proposed method constructed a two-stage structure updating method by using the greedy algorithm for historical and observed data, and it was implemented for both the original and dynamic rule-based systems. In addition, a Bayesian optimization algorithm updated the parameters of the dynamic rule-based system. As a result, the new approach developed and applied an inference model of the updated extended belief rule for rule inference and decision-making in dynamic scenarios. A practical case of ultrasound-assisted diagnosis of thyroid nodules in the ultrasound department of a tertiary hospital in Hefei City, Anhui Province is studied to verify the validity and practicality of the proposed method.

Foundation Support

国家自然科学基金资助项目(72001063)
中央高校基本科研业务费专项资金资助项目(JZ2023HGTB0282,PA2024GDGP0031)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.02.0036
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 9

Publish History

[2025-05-23] Accepted Paper

Cite This Article

薛旻, 黄浩澜, 裴建, 等. 考虑双重更新的简约扩展置信规则推理决策方法 [J]. 计算机应用研究, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.02.0036. (Xue Min, Huang Haolan, Pei Jian, et al. Simple extended belief rule inference and decision-making method considering dual updating [J]. Application Research of Computers, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2025.02.0036. )

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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