摘要
企业预警系统是一个高度复杂的非线性系统,难以建立精确的数学模型.而模糊推理系统特别适用于无法得到准确数学模型、具有不确定因素、非线性的系统,且易于利用专家知识,具有较好的鲁棒性和适应能力.作者将模糊推理的方法应用于企业预警系统,着重讨论了企业预警指标体系的建立、基于历史数据提取模糊规则、建立适当的模糊规则库,并建立了带有中心平均解模糊器的模糊系统来对企业预警系统进行模拟.
Early-warning system of corporation is a highly complicated nonlinear system. It is very difficult to establish an accuracy mathematical model for it. Fuzzy inference system adapts to the nonlinear system that doesn＇t get an accuracy mathematical model and has uncertain factor. It is easy to utilize the knowledge of expert and have strong robustness and adaptability. The author applies a method of fuzzy inference to early-warning system of corporation, pay more attention to how to establish the indexes of early-warning system of corporation, and extrocts fuzzy pages rules based on historical data of corporation. At last, he sets up a fuzzy system based on the fuzzy-rules set with center-defuzzifer to simulate the early-warning system of corporation.
出处
《四川大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第4期782-784,共3页
Journal of Sichuan University(Natural Science Edition)
基金
国家自然科学基金(10331010)
博士点基金(20030610020)
关键词
企业预警系统
模糊推理
模糊规则
模糊系统
early-warning system of corporation, fuzzy inference, fuzzy rule, fuzzy system
