采用遗传算法进行加权模糊规则系统

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788) Pub Date : 2004-06-15 DOI:10.1109/WCICA.2004.1342321

M. Teng, Fanlun Xiong, Rujing Wang, Zhenglong Wu

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引用次数: 12

摘要

本文提出了一种基于遗传加权模糊规则的系统，该系统采用遗传算法来确定模糊规则集的位置和形状等隶属函数的参数以及规则的权重。在对虹膜数据进行分类的过程中，验证了该系统的有效性。与非加权模糊规则相比，加权模糊规则可以得到更好的模糊系统。

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Using genetic algorithm for weighted fuzzy rule-based system

A genetic weighted fuzzy rule-based system is proposed in this paper, in which the parameters of membership functions including position and shape of the fuzzy rule set and weights of rules are evolved using a genetic algorithm. The efficiency of the system has been illustrated in the process of classifying the iris data. This paper also illustrates that compared with non-weighted fuzzy rules, weighted fuzzy rules can lead to better fuzzy system.

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Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788)

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