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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Research on the role of AHP- entropy method in the identification and evaluation of China tariff source risk
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Research on the role of AHP- entropy method in the identification and evaluation of China tariff source risk

机译：AHP-熵方法在中国关税源风险识别与评价中的作用研究

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摘要

With the rapid development of China's foreign trade, more and more attention is paid to the quality and efficiency of customs risk management. However, there are some subjective defects in most of the current tax risk assessment methods, which makes the results of risk assessment lack of authenticity and accuracy. Based on this, the identification and evaluation method of China tariff source risk based on AHP-entropy method was put forward in this paper, the problems existing in the current China's tariff tax risk management method were analyzed on the basis of the brief introduction of the related theories and technologies, the principles and characteristics of AHP-entropy method were described, and the tariff source risk identification index system based on AHP-entropy method was constructed, then the recognition, measurement and evaluation of the sources of risk were carried out. Experimental results show that the tax risk assessment based on AHP-entropy method can effectively improve the accuracy of the evaluation results and the accuracy of the risk response, and improve the quality and efficiency of risk management.
机译：随着中国对外贸易的快速发展，越来越多地关注海关风险管理的质量和效率。然而，大多数当前税务评估方法存在一些主观缺陷，这使得风险评估结果缺乏真实性和准确性。基于此，本文提出了基于AHP-熵方法的中国关税源风险的识别和评估方法，在目前中国关税风险管理方法存在的问题是在短期介绍的基础上进行了分析的相关理论和技术，描述了AHP熵方法的原理和特征，构建了基于AHP熵方法的关税源风险识别指标系统，然后进行风险源的识别，测量和评估。实验结果表明，基于AHP熵方法的税收风险评估可以有效提高评估结果的准确性和风险反应的准确性，提高风险管理的质量和效率。

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