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And frame model based on fuzzy set theory is established, it is used to resolving behavior.

并通过建立模糊推理的框架模型,解析停车选择行为的反应机理。

Just like most students in science, in order to avoid dull geology or history courses, I chose the way to study science, this is by accident; but compared with surface gaudiness of luxuriant words and romantic expressions, I prefer precise mathematical reasoning and exact modeling calculation, and I believe this is a kind of mellow and logic beauty conforming to nature.

同大多数理科学生一样,为了逃避相对枯燥的地理历史课程,我才选择了理科学习的道路,这,是一种偶然;而于我而言,相对于华丽的词藻与浪漫的抒情这种外放的华美,我更加倾向于严谨的数学推理和精确的模型计算,这是一种圆润和合乎自然本质的逻辑之美。

The result can be widely applied to many aspects of product design systems,such as parametric design by geometric reason-ing,decomposition of complex design tasks and dependency analysis of design parameters.

该方法在产品设计中有广泛的应用,利用这个模型和算法可较好地解决参数化设计中的几何推理问题,还可用作概念设计的工具,用于完成复杂系统设计任务的划分及定序、设计变量之间相互依赖关系分析等工作。

This paper presents a model and algorithms of causal qualitative reasoning based on integer programming. The result can be widely applied to many aspects of product design systems,such as parametric design by geometric reasoning,decornposition of complex design tasks and dependency analysis of design parameters.

该方法在产品设计中有广泛的应用,利用这个模型和算法可以较好地解决参数化设计中的几何推理问题,还可以用作概念设计的工具,用于完成复杂系统设计任务的划分以及定序、设计变量之间相互依赖关系分析等工作。

However,there are few researches on feasible granule representation models and reasoning methods in different granular levels.

但是,具体可行的粒表示模型和不同粒的推理方法研究相对较少。

Finally, a sufficient condition which can decide whether there exists a homomorphism between a qualitative reasoning system and R is presented.

定性推理具有"定量分析"不可比拟的某些优势,可望在建立深层次的故障诊断模型、模拟和预测某些物理系统的行为等方面得到广泛的应用。

These models not only can process the imprecise information in the case retrieval , but also can i.

所提出的模型可以有效地处理案例检索中的不确定性,并能提高基于案例推理系统的性

This reasoning was tested using a new model, consisting of two hierarchical networks, one implementing interocular competition with weak cross-inhibition and the other implementing pattern competition with strong cross-inhibition.

使用一个由两个分层次网络的新模型可以检验这种推理,一个伴随着较弱的交叉抑制执行内部竞争,另一个伴随着较强的交叉抑制执行着图像形式竞争。

Secondly, 11 kinds of intuitionistic fuzzy implication operators are acquired.

其次,给出了直觉模糊推理的两种模型IFMP和IFMT。

The requirements of efficiency and global-optimization can be met at the same time. Based on the situation of time varying of parameters of system, before entering the inference machine, the fuzzy control rules is learned and tested online by a special designed "judger", the excellent performances of fuzzy control rules which use online control is ensured. Fuzzy cerebellum model articulation control CMAC is used to control the semi-active suspension system for the first time. The convergence of this control algorithm and the convergent range is presented.

并根据实际系统参数时变的特点,用"判别器"对即将进入推理机的模糊规则进行了在线学习和测试,保证了用于实时控制的模糊规则的优良;首次应用模糊小脑模型神经网络控制器对系统实施了控制,并证明了这种控制算法的收敛性,得出了收敛范围;仿真和试验结果表明,GASAF和 FCMAC这两种智能控制算法对车辆的平顺性都有较大的改善,实时性较强。

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