In this paper, the fuzzy membership function is built by analysis on design parameters' fuzzy attribution, and optimization values are obtained on the basis of fuzzy aggregate expand theory.
通过对设计参数的模糊分析建立模糊隶属函数，由模糊集合扩展理论求取设计参数的优化值。
By defining the membership function of the realization extent of each objective, the multi-objective optimization problem has been turned into a fuzzy programming problem to be solved.
通过对各目标实现程度的隶属函数进行定义，将多目标优化问题转变成模糊规划问题进行求解。
According to the uncertainty feature of the objective function and the constraint conditions, the theory and method of structure fuzzy random optimization design are introduced.
根据混凝土面板堆石坝结构设计问题中目标函数和约束条件所具有的不确定性性质，阐述了结构模糊随机优化设计的理论和方法。
According to the relations between the objective function and the constraint function, the fuzzy optimization can fall into tow categories about symmetry and unsymmetry.
根据模糊目标函数与模糊约束函数的关系，模糊优化问题可以分为对称和非对称两种类型。
As a branch of intellect control, fuzzy can bring skillful operator's subjective experience and intuition into control system, it analyses and synthesizes system from function and whole optimization.
模糊控制作为智能控制的一个分支能够很好地将熟练操作人员的主观经验和直觉纳入控制系统，它从系统的功能和整体优化的角度来分析和综合系统。
Has been widely used in function optimization, training neural networks, fuzzy systems control, and other fields.
目前已广泛应用于函数优化，神经网络训练，模糊系统控制等领域。
The objective function of process tolerance optimization is established with the fuzzy mathematics based on maximum process capability.
以最大工序能力作为工序公差优化的目标，利用模糊数学的概念建立目标函数。
As the target function of the optimization model, the system entire efficacy was calculated by power index and fuzzy weight methods.
采用幂指数法结合模糊权重评价法计算系统总体效能，并以此作为优化的目标函数。
It is difficult to determine the membership function in fuzzy optimization method and to obtain the knowledge, experience and rules in expert system.
模糊优化算法中隶属函数的确定及专家系统中专家的知识、经验和规则的获取都是棘手的问题。
A new algorithm based on neural network models is also presented, in which the neural networks are employed to express the membership function of fuzzy sets and solve the optimization problems.
该算法分别采用神经网络模型进行模糊集隶属函数的表达及优化问题的求解，从而将模糊优化同神经网络有机地结合起来。
Recently, Particle Swarm optimization is applied into function optimization, Neural Networks, data mining, Fuzzy Control System and other application field.
目前微粒群算法已广泛应用于函数优化、神经网络训练、数据挖掘、模糊系统控制以及其他的应用领域。
Fuzzy weight function algorithm is used for optimization, but it suffers a shortcoming of sawtooth dose intensity map distribution.
模糊权重算法是一种优化算法，但该算法存在一个缺陷——剂量强度图谱分布上有锯齿现象。
Universal optimization for adjustable parameters of fuzzy based function is realized by using GA and finding adjust law of parameters in general designing adaptive controller is replaced.
通过一种新学习算法的导出，并结合模糊逻辑系统中的模糊基函数，给出了一种带有通用规则库的模糊滑模自适应控制器。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory, and it can reduce the rules of fuzzy greatly.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory , and the quality of the fuzzy controller was improved.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
The dimensions of input varieties of a fuzzy controller are depressed by designing a fusion function using the optimization control theory , and the quality of the fuzzy controller was improved.
运用最优控制方法设计融合函数以降低模糊控制器的维数，减少模糊控制规则数，进而提高模糊控制器的性能品质。
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