情报杂志Issue(9)：40-46,7.DOI:10.3969/j.issn.1002-1965.2015.09.010
基于多分类器融合的上市公司产品伤害事件风险预警系统
Early Warning System of Listing Company Product-harm Events Based on Multiple Classifiers Fusion
摘要
Abstract
In this paper, we build early warning of risk-prediction index system of product-harm from four dimensions, such as initial features of the event, emergency decision risk of the enterprise, aggressive behavior risk of the public and adaptability of business system . Meanwhile, the risk level of product-harm events was divided into four grades used fuzzy classification method. In order to resolve the defects of current warning methods, a multiple classifiers fusion model was presented to base on self-organize data mining for risk predic-tion of product-harm events. The empirical research shows that the proposed model is improving average predictive accuracy and reducing variation degree compared with the six wildly used single classification model ( eg. logistic regression, neural network and support vector machine) .关键词
产品伤害/风险预警/预警指标/风险评估/多分类器/上市公司Key words
product-harm/risk warning/warning index/risk assessment/multiple classifiers/listed companies分类
管理科学引用本文复制引用
王德鲁,郑建萍,马刚..基于多分类器融合的上市公司产品伤害事件风险预警系统[J].情报杂志,2015,(9):40-46,7.基金项目
中央高校基本科研业务费专项资金资助“基于行为的企业突发事件演化机理及管理对策”(编号:2013RC21)。 （编号:2013RC21）
