基于网点的自学习模糊逻辑系统

Net-point-based Self-learning Fuzzy Logical System

提出网点的概念与构造模糊逻辑系统的方法，给出了易于实现的学习算法。该方法适用于模糊规则难以获得而输入输出数据可得的情况，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了该系统的正确性与实用性。

This paper presentes a concept of net-piont and a configuration method of net-point-based self-learning logical system, and easy realizable learning algorithm. The strategy is especially applicable to the system with unavailable fuzzy rules and available inputs and outputs, and can be generally used as fuzzy controller and fuzzy modelling. The theoretical analysis and simulation results demonstrate the validity and practicality of the system.