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确定合适的隶属函数对模糊控制效果有重要影响，是应用模糊控制的基础，也是难点之一。作者应用遗传算法对模糊温度传感器信号处理过程中的隶属函数进行选择，阐述了基本原理和具体实施过程，最后用一具体的实例来说明该优化算法在模糊隶属函数选择中的应用。结果表明：该方法简单实用，具有较为理想的效果。
Determining the appropriate membership function has an important influence on the fuzzy control effect, which is the basis of applying fuzzy control and also one of the difficulties. The author applies genetic algorithm to select the membership function in the process of signal processing of fuzzy temperature sensor, and expounds the basic principle and the concrete implementation process. At last, a concrete example is given to illustrate the application of the optimization algorithm in fuzzy membership function selection. The results show that this method is simple and practical and has a good effect.