Tuning method of linguistic membership functions

B. Chung, Jun-Ho Oh
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引用次数: 6

Abstract

A learning method which can tune the linguistic membership functions is presented. To accomplish such a method, the fuzzy inference mechanism must be expressed by the membership functions without losing a physical sense. The fuzzy subsets are then described by only a few membership functions. When both the control input and the linguistic membership function are tuned in the fuzzy controller, the fuzzy rules after the training can be expressed by the linguistic membership functions maintaining their physical meaning.<>
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语言隶属函数的调优方法
提出了一种调整语言隶属函数的学习方法。为了实现这种方法,模糊推理机制必须在不失去物理意义的情况下用隶属函数表示。然后用几个隶属函数来描述模糊子集。在模糊控制器中同时对控制输入和语言隶属度函数进行调谐后,训练后的模糊规则可以用保持其物理意义的语言隶属度函数来表示。
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