模糊规则中局部权重对推理精确度的影响

Effect of local weight in fuzzy production rule on reasoning accuracy

一组模糊规则可从训练事例中学习得到,通常这组规则的推理精度有待提高。提出一种精练模糊规则的方法,它的主要思想是通过线性推理器,把局部权重分配给模糊规则中的各前件因子,通过求解一个规划问题,得出权重的近似最优值,从而改进推理精确度。

When a set of fuzzy production rules are acquired by learning from training examples,they usnally have poor reasoning accuracy with respect to the training examples. This paper proposes an approach to refine the fuzzy production rules, which assigns local weights to propositions of fuzzy production rules by using a linear programming.