Application of Data Mining and Fuzzy Location Estimation in Supply Chain Management System
Yanhua Zhang · 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC) · 2021
Application of the data mining and fuzzy location estimation in supply chain management system is studied in this research. When locating the communication system fault accurately, in order to be able to quickly locate the system obstacles, the technicians should clarify the true demands of the locating work, and improve work efficiency in this way. With the reference to this technique novelty, this paper designed the novel fuzzy clustering model combined with the neural networks to construct the intelligent supply chain management system. The real data is tested on the different scenarios. The experiment results compared with the latest approaches have proven that the designed framework can effectively analyze the information.