A new fuzzy control approach for fuzzy production rules with uncertainties is presented in the paper.
本文提出一种考虑模糊产生式规则具有不确定因素的模糊控制方法。
We can learn a set of fuzzy production rules which are learned from training examples have poor reasoning accuracy with respect to the training examples.
我们从训练事例中可以学习得到一组模糊产生规则，但这组规则对于相应训练事例的推理精度一般都有待提高。
When fuzzy production rules are used in approximate reasoning, there are interaction influences on rules that have the same consequent but different antecedent.
当模糊产生式规则应用在近似推理过程中时，前件相同而后件不同的模糊规则之间往往存在交互影响。
When fuzzy production rules are used in approximate reasoning, there are interaction influences on rules that have the same consequent but different antecedent.
模糊产生式规则作为模糊推理中一种重要的工具，被广泛地应用在专家系统中，以描述模糊的或者不确定性的概念。
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;
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 hybrid inference mechanism included dynamic fuzzy comprehensive evaluation and production rules obviously improves the veracity of the forecast results.
并将模糊综合评判与产生式规则融合，利用复合的推理机制提高预测结果的准确性。
The hybrid inference mechanism included dynamic fuzzy evaluation and production rules obviously improve the veracity of the forecast results.
并将模糊综合评判与产生式规则融合，利用复合推理机制提高预测结果的准确性。
The results showed that it is feasible to describe drivers' behavior with production rule system, and it's easy to expand by the cooperation of fuzzy and ordinary rules.
仿真结果表明，用产生式规则系统模拟驾驶行为是可行的，通过模糊规则和普通规则的共同作用，能方便地进行扩展。
The hybrid inference mechanism included dynamic fuzzy evaluation and production rules obviously improve the veracity of the f…
并将模糊综合评判与产生式规则融合，利用复合推理机制提高预测结果的准确性。
The hybrid inference mechanism included dynamic fuzzy evaluation and production rules obviously improve the veracity of the f…
并将模糊综合评判与产生式规则融合，利用复合推理机制提高预测结果的准确性。
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