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本文以时间论域上的模糊集为基本模糊事件,定义了模糊离散事件动态系统,给出了系统的数学模型,以FM/FM/1排队系统为例,演示了模糊数输入法仿真技术,给出了有关结果,为管理系统仿真应用模糊集理论提出了一条新的途径。 相似文献
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本运用模糊数的扩展运算,给出了一阶微分方程组(常系数或变系数,线性或非线性系)当其初始状态具有模糊不确定性,用模糊仿真原理求数值解的方法。 相似文献
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可能性线性系统的输出时间序列可用模糊数来表示,我们称其为模糊时间序列(FTS),这篇论文提出了FTS分析的新方法,并研究它的参数估计和模型定价。两个仿真例子表明本文提出的方法对FTS分析是非常有效的。 相似文献
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本文在Runge-Kutta方法的基础上,讨论了一阶微分方程组当其初始状态具有模糊不确定性时,运用模糊仿真的近似推理规则,求其数值解的方法. 相似文献
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本在Runge-Kutta-Fehlberg方法的基础上,运用模糊仿真的近似推理规则,讨论了当初始状态具有模糊不确定性时,求微分方程数值解的问题。 相似文献
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本讨论二阶微分方程的第二边值问题具有模糊不确定性时,运用模糊仿真原理和差分方法,求其边值问题的数值解法。 相似文献
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C. N. Madu 《Applied Mathematics Letters》1995,8(6):35-41
In this paper, we explore the potential application of fuzzy linear regression in developing simulation metamodels. It should be noted that the basic construct for simulation metamodels involves uncertainties and ambiguities that may be better addressed through fuzzy linear regression application. The solution techniques employed by fuzzy linear regression are very familiar, and the generation of fuzzy outputs may offer a wide range of solution space to the decision maker, thereby reducing the risk of making an incorrect economic decision. A numerical example is presented to show how a possibility distribution is used to capture the vagueness in a dependent variable for a regression metamodel. 相似文献
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由于风险投资的高不确定性和风险性,使得人们难以准确预测风险投资项目的收益和状态概率,而只能得到其大致的区间范围。鉴于这种情况,本文将投资项目收益和状态概率描述为模糊变量,利用模糊变量的均值和方差建立了模糊风险投资决策模型,并给出利用模糊模拟方法计算的实例。 相似文献
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针对变论域模糊控制,提出一种新的自组织结构的变论域模糊控制方法。自组织结构算法可以调整变论域模糊系统结构以及动态获得模糊规则,进一步减小变论域模糊控制项的稳态逼近误差。通过进一步理论分析可知,自组织结构算法仅仅保证了系统瞬时的切换是平稳的,但不能保证系统的闭环稳定性。给出了所提出控制方法的适用条件。通过与固定模糊系统结构的变论域模糊控制比较,仿真结果表明,所提出控制方法不仅使得系统的稳态跟踪误差更平稳,而且使得输入控制信号更加平滑。 相似文献
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Application of fuzzy control to a road tunnel ventilation system 总被引:8,自引:0,他引:8
This paper deals with the serious problems of ventilation system in a large road tunnel. Higher visibility and lower concentration of carbon monoxide are the key issues concerning the ventilation system. Prior to designing the fuzzy control model, a configuration layout of the ventilation system including sensing, control and traffic prediction as well is conceptually constructed. Based on the layout that offers assignments of sensors and control elements, a fuzzy logic control model is developed. Membership functions of sensor errors and control increments are physically submitted in order to set up the fuzzy logic rules. Timing and spacing filtering in terms of weighting approaches is employed in the fuzzy logic rules. A dynamic equation describing the concentration of air pollution is also given so as to cooperate with the fuzzy logic rules and to play roles in the computer simulation. The result of computer simulation involving five cases indicates that a multi-level scheme is able to solve the engineering problems. 相似文献
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A note on chance constrained programming with fuzzy coefficients 总被引:17,自引:0,他引:17
This paper deals with nonlinear chance constrained programming as well as multiobjective case and goal programming with fuzzy coefficients occurring in not only constraints but also objectives. We also present a fuzzy simulation technique for handling fuzzy objective constraints and fuzzy goal constraints. Finally, a fuzzy simulation based genetic algorithm is employed to solve a numerical example. 相似文献
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计算区间二型模糊集的质心(也称降型)是区间二型模糊逻辑系统中的一个重要模块。Karnik-Mendel(KM)迭代算法通常被认为是计算区间二型模糊集质心的标准算法。尽管如此,KM算法涉及复杂的计算过程,不利于实时应用。在各种改进类算法中,非迭代的Nie-Tan(NT)算法可节省计算消耗。此外,连续版本NT(CNT,continuous version of NT)算法被证明是计算质心的准确算法。本文比较了离散版本NT算法中求和运算和连续版本NT算法中求积分运算,通过四个计算机仿真例子证实了当适度增加区间二型模糊集主变量采样个数时,NT算法的计算结果可以精确地逼近CNT算法。 相似文献
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Özgür Armaneri Güzin Özda?o?lu Özgür Yalç?nkaya 《Journal of Computational and Applied Mathematics》2010,234(8):2530-2542
In project investment decisions, it is often assumed that estimated values of project parameters are certain and they would not deviate by the time. However, project parameters normally change during a life cycle of the project. Therefore, an existence of a deviation or gap between forecasted values and actual values is inevitable. Because of the uncertainty of the future, forecasting the true and exact values of project parameters is almost impossible. In this study, an integrated decision support approach based on simulation and fuzzy set theory is proposed for project investors in risky and uncertain environments. This approach determines the risk levels of the projects and helps investors to make investment decisions. In the scope of the study, a flowchart is presented to guide to decision maker in different situations of information uncertainty that belongs to project parameter values. Via this flowchart, the values of project parameters can be chosen depending on how they are determined (deterministic, stochastic or fuzzy) by project analyst. Besides, calculating and analyzing the project risk in all possible situations would be easier. Illustrative examples are given to demonstrate the application of this approach. 相似文献
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给出模糊半群上的模糊同余的概念,并进一步研究它的一些基本代数性质。同时研究带有模糊半群上的模糊同余扩张性质(FCEPF)的半群类,得到一个半群有模糊半群上的模糊同余扩张性质、有模糊同余扩张性质(FCEP)、有同余扩张性质(CEP)三个条件是等价的。 相似文献