大数据环境下产品质量风险评估系统的研究与设计

摘要

Product quality risk has become one of the important topics that the government regulators are confronting under a new situation. Referring to the study of our domestic products quality risk, with big data as the technical guidance, combined with neural network, power system science theory, mathematical statistics and other quality evaluation methods in the same field, the paper builds a new product quality risk assessment system by using the methods of the index tree, K-means duster analysis and discriminant analysis, in order to assess products quality risk level in intelligence approaches.%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。