模糊系统的一种结构设计方法及经济系统应用  

A method for design of fuzzy systems and application in economic system

作　　者：周辉仁[1] 郑丕谔[1] 王海龙[1] 

机构地区：[1]天津大学系统工程研究所,天津300072

出　　处：《系统工程理论与实践》2008年第4期101-107,共7页Systems Engineering-Theory & Practice

摘　　要：针对模糊系统的特点,根据输入-输出数据,应用递阶遗传算法设计.现有的模糊系统设计方法大多只能训练系统的模糊集的中心参数、高斯隶属度函数的系数、中心参数和扩展参数,系统的模糊规则得预先用某种方法确定.利用很好设计的递阶遗传算法能够把模糊系统的模糊规则数目和参数同时通过训练确定.利用该方法在非线性经济系统进行仿真,并与BP神经网络的预测结果进行比较,证明该模型的预测精确度是令人满意的,文中提出的方法是可行的.A hierarchical genetic algorithm is proposed to train parameters of fuzzy systems, such as centers of fuzzy set, coefficients, centers and spreads of Gaussian membership function. In addition, the number of fuzzy rules is also determined at the same time during training. Training and test based on practical data sets are carried out respectively, and a good performance of the new algorithm is demonstrated. The model is then used to forecast the economic system. Compared with the BP neural networks, It is shown that the model based on hierarchical genetic algorithm proposed is simple and effective.

关 键 词：模糊系统 设计 递阶遗传算法 经济系统 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]