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本文提出一种基于网点的构造自学习模糊逻辑系统（Ｓｅｌｔ－ＬｅａｒｎｉｎｇＦｕｚｚｙｌｏｇｉｃａｌＳｙｓｔｅｍＳＬＦＬＳ）的方法，并给出了易于实现的学习算法。该系统可用于设计基于样本的模糊控制器和系统模糊建模。理论分析和数字仿真说明该系统的正确性与实用性。
In this paper, we present a new method of constructing Selt-Learning Fuzzy Logic System (SLFLS) based on network points, and give an easy-to-implement learning algorithm. The system can be used to design sample-based fuzzy controller and system fuzzy modeling. Theoretical analysis and numerical simulation show that the system is correct and practical.