遗传模糊系统的研究概述

Summary of Genetic Fuzzy Systems

模糊系统能够解决许多应用领域中的不同问题。目前众多学者对增加模糊系统学习和自适应能力的研究兴趣不断增加。神经模糊系统和遗传模糊系统,将软计算领域中的神经网络和遗传算法与模糊系统的近似推理方法相结合,成为目前两个最成功的模糊系统。这里介绍了遗传模糊系统的各种模型和应用领域,分析了此领域的研究方向和趋势。

Fuzzy systems were applied to solving different kinds of problems in many applications. Currently, there is an increasing interest to augment fuzzy systems with learning and adaptation capabilities. Neural fuzzy systems and genetic fuzzy systems are two of the most successful approaches by hybridizing the approximate reasoning method of fuzzy systems with the learning capabilities of neural networks and evolutionary algorithms in the realm of soft computing. It gives a brief introduction to models and applications of genetic fuzzy systems, and analyses the directions and trends of research on fuzzy systems.