Conduct a comprehensive evaluation driver fatigue by making the definition of input and output of fuzzy controller and fuzzy inference rules.
在得到了脸部信息的状态值后，进行驾驶员疲劳程度的综合评判，制作模糊控制器定义输入输出以及模糊推理规则。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
The standard value of the tested software to pass the test was then obtained from the fuzzy control relation and fuzzy inference rules, thus quantifying the judgment for software to pass the test.
基于这种模糊控制关系和模糊推理规则，得到了被测软件通过测试的标准值，使测试通过的判定得以量化；
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。
Applying Adaptive Neural-Fuzzy Inference System (ANFIS) can produce fuzzy rules and adjust membership functions automatically based on data without experience of experts.
自适应神经网络模糊推理系统(ANFIS)能基于数据建模，无须专家经验，自动产生模糊规则和调整隶属度函数。
In the implement of system, we use membership function to mirror faults fuzzy and fuzzy concern, relational database to describe knowledge and rules, and perform ruled-based inference.
在系统实现中，采用隶属函数来反映故障对象特征的模糊性和模糊关系，基于关系数据库进行知识的模糊表达，实现基于规则的模糊推理。
Fuzzy control technologies that apply control rules to simulating the inference process of man's brain can diminish the affect on the system by data inaccuracy.
模糊控制技术能利用控制规则，模拟人脑的推理过程，通过对输入量模糊化和综合推理，可以弱化数据不准确对系统的影响。
The parameters of me fuzzy control rules of me controller can be learned by the learning slgorithm of the neural netowrk. and the inference process can be realized by the network.
应用单层神经网络可以学习多变量模糊控制规则中的未知参数．还可由它来实现多变量模糊推理过程。
The input and output variables of control unit are selected and a fuzzy inference unit with 25 rules is constructed.
选取了控制器的输入、输出变量，构建了有25条规则的模糊推理器。
It is hard to determine the membership function and inference rules in fuzzy reasoning.
隶属函数和推理规则的确定是模糊推理的难点。
Decision inference of the extended decision rules was implemented using fuzzy CRI (compositional rule of inference).
用关系合成的模糊推理方法，实现了扩展决策规则集的决策推理。
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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