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The membership function can exactly express the fuzzy satisfaction set by considering the vagueness of satisfaction degree of objectives and introducing the membership function for the fuzzy satisfaction sets of system reliability and system cost. The normal distribution and Cauchy distribution of this membership function is modified according to the fuzzy satisfaction sets. By doing this, the multi-objective optimization problem can be converted to a single-objective optimization problem to be solved.

模型充分考虑到目标满意度的模糊性,通过引入系统可靠度与费用的模糊满意集的隶属函数,并根据它们的模糊满意集对其正态分布、柯西分布进行适当修改,使之能够准确表达通常情况下的这两个目标的模糊满意集,最终,把两目标优化问题转化为常规单目标优化问题求解。

The second improvement is to combine the fuzzy optimization model, which has its advantages with view to quantitative problems, with the decision-making method based on fuzzy congruity theory, which has its advantages with view to qualitative problems, thereby a model that is more applicable to the practical evaluation of the problems that have both quantitative indices and qualitative indices, or a so-called mixed model is established.

本研究提出了相应的改进方法:一是将基于模糊一致矩阵理论的决策分析方法推广到了多层次的情况,使之适用于多层次、多指标综合评价问题;二是将对定量指标问题具有优越性的模糊优选模型和对定性指标问题具有优越性的基于模糊一致矩阵理论的决策分析方法结合起来,构建了更适合应用于实际综合评价问题既有定量指标又有定性指标的模型,即所谓的混合型模型。

The second improvement is to combine the fuzzy optimization model, which has its advantages with view to quantitative problems, with the decision-making method based on fuzzy congruity theory, which has its advantages with view to qualitative problems, thereby a modelthat is more applicable to the practical evaluation of the problems that have both quantitative indices and qualitative indices, or a so-called mixed model is established.

本研究提出了相应的改进方法:一是将基于模糊一致矩阵理论的决策分析方法推广到了多层次的情况,使之适用于多层次、多指标综合评价问题;二是将对定量指标问题具有优越性的模糊优选模型和对定性指标问题具有优越性的基于模糊一致矩阵理论的决策分析方法结合起来,构建了更适合应用于实际综合评价问题既有定量指标又有定性指标的模型,即所谓的混合型模型。

A two dimensional fuzzy controller was designed to keep the interelectrode gap at a stable and low value, the inputs of controller were the current error and the change of current error which was transferd from the error of interelectrode gap.

设计了一个二维模糊控制器,以进给速度的增量为模糊控制器输出,将间隙的误差转化为电流的误差及误差的变化,以此作为模糊控制器的二维输入向量,使加工维持在稳定的小间隙状态。

From the starting value selection method in the Fuzzy ISODATA algorithm, used the method of maximal matrix element to ascertain the number of classification, the theoretical analysis of repeated test, and finally, the improved fuzzy ISODATA algorithm is obtained. The algorithm reduced sensitivity to the starting value. The algorithm can highly effective clustering analyze and obtains a stable result, so it presents an efficient way of improving the contribution value of custom service.

研究中先对模糊ISODATA聚类演算法中,初始划分矩阵和分类数的确定,并使用最大矩阵元素法,求得最佳化演算法中其他参数值,最后在CRM系统实际验证和分析中,采用本研究改良之模糊ISODATA聚类演算法,对汽车销售公司实施客户模组分类,经实验证明所得到的聚类结果,可有效解决一般聚类方法受限於参数设定敏感度的困扰,并使聚类精确度提高,有效排除杂讯敏感的影响,使聚类效果大幅提升,可帮助行销人员做出预测,制订出针对客户差异化的行销策略,提高客户服务的贡献价值。

Lakatos'the principle of tolerance led to blurring of boundary line about progressive and deteriorative research program, mistiness of boundary line of reasonable and unreasonable research program. His standard of demarcation led to obscuring the boundary line of science and non science. His principle of theory of error made boundary line of right and wrong theory, ture and false theory blurred.

拉卡托斯的宽容原则导致进步的研究纲领和退步的研究纲领,合理的研究纲领和不合理的研究纲领之间的界线模糊;他的划界标准使科学与非科学之间的界线模糊;他的可错主义原则使正确的理论和错误的理论,真的理论和假的理论之间的界线模糊。

In order to ensure the consistency of the closed-loop system performances, before the AFC is applied, a supervisory controller is used to drive initial tracking errors to a preset closed area, and then the AFC can drive the tracking errors of the closed-loop system to pre-specified neighborhood in the presence of unknown approximation errors of the fuzzy logic system.

为保证系统性能的一致性,在启动自适应模糊控制器前,采用监督控制将初始跟踪误差镇定到给定范围。自适应模糊控制器可在存在模糊逻辑系统逼近误差的情况下,使系统跟踪误差小于预先给定的任意常数。

In the system of high precision and low speed, Because of the existence of the nonlinear friction, the static and dynamic performance of the servo system is very bad, such as stick slip, hunting, large error and so on, Because the traditional control of PID is hard to solve the nonlinear problem of the servo system, so this paper begins to introduce a new control method which is named adaptive fuzzy PID, It utilizes the rule of the fuzzy control to adjust the parameter of proportion, integral and differential on line, So this control method has some intelligence to improve the static and dynamic performance of the servo system.

在高精度、超低速伺服系统中,由于非线性摩擦环节的存在,使系统的动态及静态性能受到很大程度的影响,主要表现为低速时出现爬行现象,稳态时有较大的静差或出现极限环振荡;由于传统的PID 控制很难解决伺服系统中的非线性问题,因而不能适用于高精度、超低速伺服系统;本文通过引入模糊自适应整定PID控制,利用模糊规则在线调整比例、积分、微分环节,使系统具有一定的智能,从而非常明显的改善伺服系统的静态及动态性能。

Based on the characteristics of CMAC neural network and fuzzy control,the novel controller of fuzzy CMAC neural network that reflects the fuzziness and continuity of human cerebella is discussed.

针对 CMAC神经网络和模糊控制的特性,给出了一种能反映人脑认知的模糊性和连续性的模糊 CMAC神经网络控制器,该控制器采用高斯函数作为模糊隶属函数,利用神经网络实现模糊推理并可对隶属函数进行实时调整,从而使其具有学习和自适应能力。

Introducing the idea of fuzzy logic, this paper advances Trust-authorization-based fuzzy access control model and exerts fuzzy synthetic judgment method to calculate subjects' trust worthiness, establishes fuzzy control rules, automatically authorizes subjects' relevant privilege by fuzzy adjudging, which can satisfy requirements of open information system access control.

文中引入模糊逻辑的思想,提出了基于信任授权的模糊访问控制模型,运用模糊综合评判法计算出主体在开放式信息系统中的信任度,并建立模糊控制规则,通过模糊判决自动授予主体相应的权限,使其能够更好的满足开放式信息系统中访问控制的要求。

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