本文研究了模糊随机系统的模糊随机优化问题。
The optimization of fuzzy stochastic systems is studied in this paper.
针对当前城市交通系统中的被控对象具有较大的随机性和偶然性，引入了不需要建立精确数学模型的模糊控制。
This design USES fuzzy control theory which doesn't require exact mathematical model because of the randomness of the controlled objects in the current city traffic control system.
最后指出水资源研究的随机分析、模糊分析和灰色系统的耦合与GIS、RS和GPS的应用是今后湖泊水环境预测的发展趋势。
The coupling of random analysis, fuzzy analysis and Grey system of water resource and the application of GIS, RS and GPS in water environment prediction the trends of development in future.
FSQTL能够建模实时系统中的确定时间、概率时间、随机时间和模糊时间，并利用可能性实现对性能需求的分析。
FSQTL can model the deterministic time, probability time, stochastic time and fuzzy time, and analyze the performance by possibility in real-time systems.
建立了随机模糊测试系统的模型。
The model of the stochastic fuzzy testing system is constructed.
提出一类基于T S模糊模型的非线性随机系统均方镇定的线性矩阵不等式(LMI)设计方法。
An LMI design method for mean square stabilization of a class of nonlinear stochastic systems based on the T-S fuzzy model is proposed.
不确定性；库存控制； 库存协调；再制造物流系统；随机规划；模糊规划。
Uncertainty environmental; inventory control; inventory coordination; remanufacturing logistics system; stochastic programming; fuzzy programming.
将模糊随机干扰模拟为含模糊参数的随机过程，分析了模糊随机干扰下的振动系统的模糊随机响应。
By simulating the fuzzy random interference as a random process with a fuzzy parameter, the fuzzy random response of vibration systems of the random interference with fuzziness are analysed.
提出了基于可信性理论的运行风险评估算法，采用随机模糊变量的期望值表示全系统的运行风险指标。
Based on the credibility theory, an algorithm for random fuzzy operational risk assessment is proposed, and power system operating risk is expressed by a random fuzzy expected value.
针对多态系统中可能存在多种状态概率表示形式的情况，介绍了多态系统可靠性计算的随机模型、模糊模型和区间模型。
With respect to different forms of state probabilities with uncertainty in multistate systems, multistate reliability models of stochastic, fuzzy and interval forms are introduced.
针对复杂大系统和远程控制系统中采样速率的随机性问题，提出了一种基于自适应模糊调节的多速率采样方法。
Because of the randomness of sampling rate in large-scale systems and remote control systems, a kind of multi-rate sampling method based on self-adaption fuzzy modulator was presented.
提出了一类基于T - S模糊模型的非线性时滞随机系统均方镇定的LMI通用设计方法。
LMI design method for mean square stabilization of a class of nonlinear stochastic systems with time-delay based on the T-S fuzzy model is introduced.
用模糊聚类分析的方法对电弧冶炼炉的几种主要随机干扰进行辨识，并在此基础上设计了电弧冶炼炉模糊控制系统，取得了良好的控制效果。
Several main random noises of arc furnace are identified by fuzzy cluster analysis method. A fuzzy control system of arc furnace is designed, and good control result has got.
运用模糊随机可测理论度量了评价系统的不确定熵。
Using fuzzy probability measure, an information entropy of assessment was introduced.
结构系统可靠性研究分随机模型、模糊模型和非概率模型。
The research of structural reliability includes randomness model, fuzzy model, non-probabilistic model.
系统中的单机版采用了先进的随机模糊数技术，以试题库作为数据源，实现了实时自动试卷生成；
The unconnected PC version applies advanced random fuzzy technologies and can automatically generate exam papers in real-time by using the question database as data source;
自然灾害系统是一个复杂系统，存在着大量的不确定性，这种不确定性既有随机性，又有模糊性。
Natural disaster system is very complex that exists lots of uncertainties which contain randomness and fuzziness.
给出基于模糊信任测度和模糊似然测度的随机模糊信息系统知识约简的方法。
The knowledge reduction method based on fuzzy belief measures and fuzzy plausibility measures are introduced.
实际工程中，结构系统的属性以及所受外载荷常常具有随机性和模糊性的特点。
The attributes of a structural system in engineering and the external loads acting on it are often characterized by randomness and fuzziness.
它需要处理由于真实系统信息灰色性、证实指标模糊性和模型与真实系统运行随机性引起的问题。
It needs treating the problems due to grey information of real system, fuzziness of validation criterion and randomness of model and real system operation.
首次给出了该随机序列的模糊函数数学表达式。给出了其系统原理框图，分析了其工作原理和数学模型，研究了它的抗干扰特性。
The expression of its ambiguity function is firstly presented, the block diagram of the system is given, the working principle, mathematical model and its performances of anti-jamming are analyzed.
对系泊浮体系统的模糊随机性特征进行描述，并推导其模糊运动方程。
The fuzzy and stochastic features a moored floating body system are described in order to deduce its fuzzy motion equations.
但实际上由于系统工作时间可能带有随机和模糊这两种不确定性，上述观点不再是合理了。
Unfortunately this viewpoint becomes unreasonable due to uncertainties attached to the system operating time; Randomness and fuzziness.
本模型充分考虑了通信系统的动态特性、随机性、模糊性及系统毁坏后的可修复特性。
In this model the dynamic property, randomness, fuzziness, and repairable property of communication systems are taken into consideration.
本模型充分考虑了通信系统的动态特性、随机性、模糊性及系统毁坏后的可修复特性。
In this model the dynamic property, randomness, fuzziness, and repairable property of communication systems are taken into consideration.
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