Design of Fuzzy Aided Cognition System for International Economic and Trade Information under Supply Chain Management.

Donghong Ren,Zamira Madina

doi:10.1155/2022/6516175

Abstract

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. Hardware Part. 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. Experimental Results. 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.

Highlights

IntroductionsChain is divided into internal supply chain and external supply chain. Earlier, it was the view of internal supply chain: supply chain is an internal process in manufacturing enterprises, which refers to the supply and demand process composed of purchasing department, production department, and storage department involved in the internal product production and circulation process [1,2,3]
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

Summary

Introductions

Chain is divided into internal supply chain and external supply chain. Earlier, it was the view of internal supply chain: supply chain is an internal process in manufacturing enterprises, which refers to the supply and demand process composed of purchasing department, production department, and storage department involved in the internal product production and circulation process [1,2,3]. The academic literature on the fuzzy assistant cognitive system of supply chain management and international economic and trade information is not very rich, which needs to be further explored. International trade mostly promotes economic development by increasing capital accumulation in the following three conditions. In the process of trade, the calculation formula of enterprise return under supply chain management is as follows:. To create a flexible supply chain, we must first start at each node, develop a demand-driven enterprise strategy and organizational structure, implement advanced production and management technology, improve information sharing and communication among various departments within the enterprise, and continuously improve the strength and flexibility of each enterprise. Based on the maximum likelihood direction estimation method, the expression formula of target information trajectory measurement value is obtained as follows: qÀffiffiffifffiffi2ffiffiffi+ffiffiffiffi4ffiffiηffiffiÁffiffi. The retrieval function of the fuzzy assistant cognitive system is designed

Experimental Test

Conclusions