本文介绍了如何对一些信号处理的结果进行转换而得到模糊隶属函数。
This paper shows how the membership functions are obtained from results of signal processing.
针对一类基于模糊感知器的神经模糊分类器，分析了隶属函数限制条件对分类结果的影响。
For a neuro_fuzzy classifier based on the fuzzy perceptron, this paper analyses how membership function constraints affect the classification result.
隶属函数值法虽然方法繁琐，但结果也较为可靠，且利于在育种、生理等方面研究中应用。
The method of subordinative function value was complicate, but it was also reliable and beneficial for crop breeding and physiological studies.
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