考虑时间约束的地震救灾数学模型设计与实现

在地震救灾方面,针对信息实时更新的地震救灾数学模型,为了满足不同受灾点的物资需求,增加了出救点数量以及配送时间,以此来保证地震救援物资需求的满足度,提高了应急响应水平。结合地震救灾特点,设计了一种考虑时间约束的地震救灾数学模型。该模型在地震救灾物资需求预测部分,分析影响地震救灾物资需求量的主要因素,构建地震救灾物资需求量计算模型,对影响地震救灾物资需求量的主要因素构建隶属度函数,给出基于模糊综合评判的地震救灾物资需求分级模型。其次,考虑时间约束以及需求不确定等方面,构建考虑时间约束的地震救灾多目标优化数学模型,并给出求解模型。实验结果表明,该模型减少了救灾物资到达受灾点的延迟时间,可在满足时间约束的条件下提高物资需求满足率。     

基于模糊评价理论的海洋工程采办过程风险分析方法研究

在具体研究了现代项目风险分析和风险管理常用方法基础上,将其中的事故树法、智爆法及风险指数致命度分析法相结合,利用模糊评价理论,建立了海洋工程采办过程风险分析方法。应用该方法对“曹妃甸11-1／2(CFD11-1／2)”项目的采办过程进行风险分析,得到了采办过程中的风险事故树及风险指数排序,并对风险指数较大的风险点提出建议及改进措施,进行风险规避,对工程实践起到了很好的指导作用。     

近岸海水质量量化方法及分类评价

近岸海域是陆地、海洋和大气之间各种过程相互作用最活跃的界面[1],沿海100km以内区域聚积着约60%的世界人口[2],其环境质量强烈受人类活动影响.对近岸海域进行水质环境管理,应依据海水物理、化学和生物学性质对海水进行分类评价[3,4].     

Sliding mode fuzzy control: Theory and verification on a benchmark structure

A sliding mode fuzzy control (SMFC) algorithm is presented for vibration reduction of large structures. The rule base of the fuzzy inference engine is constructed based on the sliding mode control, which is one of the non‐linear control algorithms. In general, fuzziness of the controller makes the control system robust against the uncertainties in the system parameters and the input excitation, and the non‐linearity of the control rule makes the controller more effective than linear controllers. For verification of the present algorithm, a numerical study is carried out on the benchmark problem initiated by the ASCE Committee on Structural Control. To achieve a high level of realism, various aspects are considered such as actuator–structure interaction, sensor noise, actuator time delay, precision of the A/D and D/A converters, magnitude of control force, and order of control model. Performance of the SMFC is examined in comparison with those of other control algorithms such as H_{mixed 2/∞}, optimal polynomial control, neural networks control, and SMC, which were reported by other researchers. The results indicate that the present SMFC is efficient and attractive, since the vibration responses of the structure can be reduced very effectively and the design procedure is simple and convenient. Copyright © 2000 John Wiley & Sons, Ltd.     

模糊神经网络在变形分析与预报中的应用研究

研究了模糊神经网络的网络建模,提出了单点建模、分组建模和整体建模3种建模方法,为变形分析和预报提供了新思路。结合滑坡变形实例,指出了模糊神经网在工程变形分析和预报中的可行性。     

模糊地理实体不确定性综合描述研究

从二型模糊的角度讨论了模糊地理实体的不确定性,基于空间数据的位置误差,利用模糊集的λ-截集和圆误差带模型推导了模糊地理实体隶属度的误差模型,并给出了隶属度不确定性的度量方法,提出了用隶属度误差立方体来综合描述模糊点的不确定性。     

基于模糊推理的空间聚类方法研究

提出了基于模糊推理的空间聚类方法,给出了其实现步骤,并以实例验证了其可行性和科学性。     

高分辨率遥感图像最近邻模糊分类器的研究及实现

本文针对高分辨率遥感影像快速高效萃取有用信息这一遥感技术应用的热点问题,探讨了一种适合于组合特征识别的遥感图像最近邻模糊分类器。该分类器首先把待识别目标的组合特征与训练模板中的组合特征样本的平均值一一进行比较,从而得到了一个特征差矩阵。用模糊分布函数在同类特征差之间进行处理,生成一个隶属度矩阵,然后用算术平均法对隶属度矩阵进行处理,并用最大隶属度准则来进行分类判决。以新疆和静县的SPOT5图像为例,应用此方法对其进行分类试验。结果表明:利用此分类方法对SPOT5遥感图像进行分类,不仅使分类结果具有丰富的语义信息,而且克服了由于特征选择的不稳定性对分类结果的影响,分类精度也得到了显著的提高。     

模糊物元理论在干旱分析中的应用研究

干旱的评价指标具有多样性,各种指标在优劣程度上是渐变的,具有模糊性,不同的干旱指标对干旱的分析会存在一定的差异性。利用渭河流域1960～2010年近50a的日气候资料,通过分析计算选取标准降水指数、综合干旱指数和降水距平百分率并通过模糊物元理论将这三种干旱评价指标结合起来构建一种新的评价方法并与已发生的干旱进行分析对比。结果显示:模糊物元理论可以很好的将多种干旱指标结合起来从而减小不同指标分析所存在的差异性;且与单独一干旱指标所分析的干旱趋势没有出现较大的偏差。可以将多种分析方法结合起来更好的揭示干旱的变化规律,定量评价流域内的干旱变化情况,对抗旱减灾工作有重要的科学意义。     

RESPONSE ANALYSIS FOR FUZZY STOCHASTIC DYNAMICAL SYSTEMS WITH MULTIPLE DEGREES OF FREEDOM

Most real-life structural/mechanical systems have complex geometrical and material properties and operate under complex fuzzy environmental conditions. These systems are certainly subjected to fuzzy random excitations induced by the environment. For an analytical treatment of such a system subjected to fuzzy random excitations, it becomes necessary to establish the general theory of dynamic response of a system to fuzzy random excitations. In this paper, we extend the work published in Reference [1], and discuss the case of Multi-Degree-of-Freedom (MDF) fuzzy stochastic dynamical systems. The theory of the response, fuzzy mean response and fuzzy covariance response of multi-degree-of-freedom system to fuzzy random excitations in the time domain and frequency domain is put forward. Two cases to determine the fuzzy response statistics of the fuzzy stochastic dynamical system with multiple degrees of freedom are discussed. Two examples are considered in order to demonstrate the rationality and validity of the theory. © 1997 by John Wiley & Sons, Ltd.