基于模糊逻辑的自组织竞争网络对操作风险强度的识别  

Identification of the Strength of Operational Risk Based on Fuzzy Logic and Self-organizing Neural Networks

作　　者：艾林[1] 周焯华 

机构地区：[1]重庆大学经济与工商管理学院,重庆400044

出　　处：《中国软科学》2007年第1期144-150,共7页China Soft Science

基　　金：国家自然科学基金(70371030)。

摘　　要：因为银行自身的操作失误而引发银行经济严重的损失,商业银行的操作风险越来越成为相关领域关注的焦点。面对突出的操作风险问题,本文重点分析运用数据挖掘技术来预测商业银行操作风险强度水平的研究的优势性。通过运用模糊逻辑的神经网络方法来预测商业银行操作风险水平等级。Operational risk of commercial banks has gradually become a focus in related fields because of the serious losses result from their own operational mistakes. The advantages of forecasting the intension of operational risk of commercial banks by the means of data mining technology axe mainly analyzed in this paper. It also discusses the means of fuzzy logic neural networks to forecast the overational risk level of commercial banks.

关 键 词：操作风险 模糊逻辑 神经网络 

分 类 号：F270.5[经济管理—企业管理]