产品质量风险评估已成为新形势下政府监管面临的重要课题之一。本文结合我国产品质量风险评估研究基础,以大数据技术为导向,结合神经网络、动力系统科学理论、数理统计等理论,运用指标树、K-means聚类分析、判别分析等方法,构建一种新的产品质量风险评估系统,以实现智能评估分析产品质量风险等级。 Product quality risk assessment has become one of the important issues facing government regulation under the new situation. Combining with the research foundation of product quality risk assessment in our country, taking the big data technology as the guidance, using the theories of neural network, power system science theory and mathematical statistics, we use the index tree, K-means clustering analysis and discriminant analysis to construct a New product quality risk assessment system to achieve intelligent assessment of product quality risk rating.