智能分析决策方法在海关税收风险防控中的应用研究  

Research on the Application of Intelligent Analysis Decision-Making Methods in Customs Revenue Risk Prevention and Control

作　　者：黄新天 彭非 哈捷 潘婷 高鹏 梁建 赵彬 庄东江 HUANG Xin-Tian;PENG Fei;HA Jie;PAN Ting;GAO Peng;LIANG Jian;ZHAO Bin;ZHUANG Dong-Jiang(Customs National Supervision Bureau for Duty Collection(Shanghai)GACC,Shanghai 200135)

机构地区：[1]海关总署税收征管局(上海),上海200135

出　　处：《中国口岸科学技术》2023年第9期91-96,共6页China Port Science and Technology

基　　金：海关总署科研项目(2021HK120)。

摘　　要：本文旨在探索海关智能分析的发展现状,以及如何通过大数据和人工智能技术提升工作效率和决策的科学性、客观性和精准性。文章讨论了海关智能分析在数据质量、模型体系、算法研究等方面的应用情况,提出从数据价值挖掘、基础算法研究、人工智能应用以及态势感知能力建设等方面提升决策水平的路径。通过实证研究验证了智能分析决策方法在税收风险防控中应用的可行性,为提升海关智能分析的水平提供了思路和工具。This paper aims to explore the current state of customs intelligent analysis and how to enhance work efficiency and the scientific, objective, and precise nature of decision-making through big data and artificial intelligence. The paper discusses the deficiencies of intelligent analysis in customs in terms of data quality, model systems, and algorithm research, and proposes pathways to improve decisionmaking levels from aspects such as data value mining, basic algorithm research, artificial intelligence applications, and situational awareness capability building. Through empirical research, this study verifies the feasibility of applying intelligent analysis decision-making methods in revenue risk prevention and control, providing insights and tools for enhancing the level of customs intelligent analysis.

关 键 词：智能分析 决策 税收征管 模型 算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP311.13[自动化与计算机技术—控制科学与工程] F752.5[经济管理—国际贸易]