Research of Neural Network Based on Fuzzy Clustering in Supply Chain Quality Affecting Elements Data Mining

The research of influencing elements is a basic work in supply chain quality management. The thesis applies neural network based on fuzzy clustering and makes use of the advantages of the two data-mining technologies, which overcome the shortage of a single data-mining technology. Firstly, it puts forward the algorithm and process of neural network based on fuzzy clustering. Secondly, the memberships of subclass are acquired through clustering the elements based on fuzzy clustering. Then, the memberships are passed into the neural network to study by the form of the input. Finally, the main elements and their weights are acquired and discovered through studying. These works are the basis of supply chain quality in the future.