School of Economics and Management, Shangqiu Polytechnic, Shangqiu 476000, China.
The Department of Industrial Engineering, International Ataturk Alatoo University, Kyrgyzstan.
Comput Math Methods Med. 2022 Feb 2;2022:6516175. doi: 10.1155/2022/6516175. eCollection 2022.
The existing fuzzy assistant cognition system has the problem of imperfect retrieval function, which leads to long execution time. This paper designs a fuzzy assistant cognition system of international economic and trade information under supply chain management. . Optimize wireless sensor and connect power interface and related accessories. In the software part, the dynamic characteristics of international economic and trade information elements are extracted, the flexible operation model of supply chain management is constructed, the demand-oriented organizational structure is established, the output set is determined by the product reasoning, and the retrieval function of fuzzy assistant cognitive system is designed by using the fuzzy association algorithm. . The average execution time of the fuzzy assistant cognitive system and the other two systems is 123.593 s, 165.733 s, and 169.506 s, which proves that the cognitive system integrated with supply chain management has a higher practical application value.
现有的模糊辅助认知系统存在检索功能不完善的问题，导致执行时间过长。本文设计了一种基于供应链管理的国际经贸信息模糊辅助认知系统。优化无线传感器并连接电源接口及相关配件。在软件部分，提取国际经贸信息要素的动态特征，构建供应链管理的灵活运行模型，建立面向需求的组织结构，通过产品推理确定输出集，并利用模糊关联算法设计模糊辅助认知系统的检索功能。模糊辅助认知系统与另外两个系统的平均执行时间分别为 123.593s、165.733s 和 169.506s，证明了与供应链管理集成的认知系统具有更高的实际应用价值。
