本方法的特点是：（1）将加权模糊产生式规则的产生与神经网络的建立、训练和模糊推理方法综合起来考虑；
The characteristics of the new method are that:(1) building weighted fuzzy production rules and designing and training of neural networks and fuzzy reasoning are considered synthetically;
在选定数据集上的仿真实验数据表明，提出的方法可以明显提高基于加权模糊产生式规则的专家推理系统的泛化能力。
Experimental results on a number of selected databases demonstrate the expected improvement of generalization capability of the FPR-based expert systems.
提出了一种新的带权的区间值模糊产生式规则，给出了加权模糊匹配函数和一个区间值排序算法。
In this paper, we propose a new interval-valued fuzzy production rule with weight, and provide weighted fuzzy matching function and an algorithm of interval value ranking.
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