Risk Evaluation Method of Import and Export Goods Based on Fuzzy Reasoning and DeepFM

Xu Yuanyuan; Fang Huijuan; Luo JiliangHe JiananLi TaoLin Shiming

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Risk Evaluation Method of Import and Export Goods Based on Fuzzy Reasoning and DeepFM

机译：Risk Evaluation Method of Import and Export Goods Based on Fuzzy Reasoning and DeepFM

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摘要

At present, the inspection mode of China's import ports is generally manual based on experience, or random inspection by the document review system according to a preset random inspection ratio. In order to improve the detection rate of unqualified goods and realize the best allocation of limited human and material resources of inspection and quarantine institutions, a method composed of fuzzy reasoning, deep neural network, and factorization machine (DeepFM) was proposed for the intelligent evaluation of risk sources of imported goods. Fuzzy reasoning is used to realize the fuzzy normalization of the dataset samples, the DeepFM deep neural network is finally used for training and learning to classify and evaluate the risks of goods. Results of experimental tests on a specific customs import and export dataset verify the effectiveness of the proposed research method.

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来源
《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2021年第27期|2390958.1-2390958.8|共8页
作者
Xu Yuanyuan; Fang Huijuan; Luo JiliangHe JiananLi TaoLin Shiming;
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作者单位

Huaqiao Univ, Coll Informat Sci & Engn, Xiamen 361021, Peoples R China|Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China;

Huaqiao Univ, Coll Informat Sci & Engn, Xiamen 361021, Peoples R China;

Shenzhen Acad Inspect & Quarantine, Shenzhen 518033, Peoples R China|Shenzhen Int Travel Hlth Care Ctr, Cent Lab Hlth Quarantine, Shenzhen 518033, Peoples R ChinaHebei Univ Technol, Sch Mech Engn, Tianjin 300401, Peoples R ChinaXiamen Univ, Sch Informat, Xiamen 361005, Peoples R China;

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Risk Evaluation Method of Import and Export Goods Based on Fuzzy Reasoning and DeepFM

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