利用模糊神经网络实现数值信息与语言信息的融合  

Realization of the Fusion of the Numerical and Linguistic Information Using a Fuzzy Neural Network

作　　者：荣莉莉[1] 王众托[1] 

机构地区：[1]大连理工大学系统工程研究所,辽宁大连116024

出　　处：《控制与决策》2001年第6期958-961,共4页Control and Decision

基　　金：国家自然科学基金项目 (6 96 0 4 0 0 9);国家自然科学基金重点项目 (796 30 0 10 )

摘　　要：提出一种数值信息与语言信息融合的实现方法 ,融合是通过一个模糊神经网络完成的。该方法可用于对既有语言型变量 ,又有数值型变量的系统建立模型。实现融合的关键是对语言变量定义隶属函数。给出一种考虑决策者的偏好来描述语言变量的隶属函数的方法 。The problem on the fusion of the numerical information and the linguistic information is discussed. A method is presented to model the system, which has not only the numerical variable, but also the linguistic variable, such as the management systems, decision support systems etc. A four layer fuzzy neural network is used to realize the fusion. The key point of the fusion is to define the membership function of the linguistic variable. A method of determining the membership function of the linguistic variable concern with the preference of the decision person is proposed. The simulation result shows the validity of the presented method.

关 键 词：模糊神经网络 隶属函数 数值信息 语言信息 信息融合 信息处理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TP183[自动化与计算机技术—计算机科学与技术]