可变模糊集方法在辽宁省生态环境承载力评价中的应用

本文收集了辽宁省近8年的数据作为研究对象,选用反映辽宁省生态环境承载力评价的有关指标数据,用可变模糊评价方法构造了辽宁省生态环境承载力评价模型,并兼顾主观经验和客观信息的综合赋权法,采用最小二乘法优化决策模型计算主客观组合权重,对其水环境质量进行综合评价,结果表明：辽宁省生态环境承载力整体水平较高。     

组合赋权法在节水灌区综合效益评价中的应用

尝试采用组合赋权法对云南灌区综合效益评价指标体系进行赋权.该方法通过结合两种典型的主客观赋权方法,而后求解模型得出灌区综合效益评价各指标的最终权重值.分析计算结果不难发现,应用组合赋权法获得的指标权重全部介于主、客观赋权法之间,说明其从一定程度上克服了两种权重的片面性,从而也使综合评价结果愈加科学合理.     

基于集对联系数和可变模糊集的起重机金属结构安全评价

针对起重机金属结构安全评价时确定相对隶属度的不足和最大隶属度原则不适用的问题,提出了以组合赋权法和可变模糊集理论相结合的评价方法。该方法将评价指标的评分结果转化为评价向量,依据可变模糊集理论中的相对差异度函数确定相邻两级指标的相对差异度;利用层次分析法和信息熵法分别确定起重机金属结构的主观和客观权重,运用集对联系数融合主客观权重;由组合权重和相对差异度矩阵确定综合相对隶属度,并通过变换组合参数进行综合评价,同时经计算得到评价对象的安全等级;最后,以某造船门式起重机金属结构变形缺陷的评价为例,验证了该模型的合理性和可行性。     

基于主客观赋权的企业专利组合质量评价

为解决质量视角下企业专利组合的评价问题，结合三角模糊数、多目标优化法和两阶段优化法提出了一个企业专利组合质量评价模型。从规模性、创新性、稳定性、经济性和战略性5个方面选取企业专利组合质量的评价指标，采用三角模糊数和多目标优化方法计算指标的主观权重，采用两阶段优化方法计算指标的客观权重，通过主客观赋权确定指标的综合权重。随后根据指标评价值和指标权重对专利组合质量进行排序，并将提出的模型应用于动力电池企业的专利组合评估。研究结果表明：该方法综合了专家决策信息和客观数据，可对企业专利组合进行有效评估。     

基于专家可信度的熵权-AHP建筑施工企业信用评价

由于建筑施工企业信用评价的复杂性,采用定性与定量相结合的综合评价方法,提出了一种新的数学评价模型.首先,运用层次分析法(AHP)对指标体系进行系统划分.其次,针对专家主观偏好带来的影响,采用了专家评价法来计算专家可信度,针对主客观性指标评分标准的差异,对指标进行主客观的划分,进而根据企业信用主客观得分建立了评价指标矩阵.而指标权重的计算则采用主客观相结合的方法,将层次分析法与熵权法相结合.最后,通过对多个建筑施工企业信用评价,验证了模型的有效性、合理性.     

煤层冲击倾向性变权重可变集分类识别

针对煤层冲击倾向性评价的模糊不确定性问题,为准确合理地评判冲击倾向性强弱,提出变权重可变集分类识别模型。模型选取动态破坏时间、弹性能量指数、冲击能量指数和单轴抗压强度作为分类指标,采用CRITIC法计算指标客观常权,利用指标数据与指标分类标准值区间的关系求解指标客观变权,最后运用博弈论对主客观权重进行优化集成,得到评价对象的变权权向量。引入可变集理论合理确定评价指标对各类别指标标准值区间的相对差异度,建立冲击倾向性可变集评价模型,依据类别特征值判断评价对象的隶属类别。实例表明,该方法较好地考虑了模型参数与样本指标权重的可变性,能科学合理地评价煤层冲击倾向性,识别结果更为可信,为煤岩冲击倾向鉴定与冲击地压危险性预测提供了新的方法和思路。     

基于投影寻踪的组合评价方法研究

以理想解法和灰色关联度分析法为基础进行组合,得到的组合评价方法能够提高评价结果的有效性。在该组合评价方法的研究中,常规的作法是对指标组合权重的运用主观赋值法,组合的偏好系数、灰色关联度的分辨系数采取人为赋值法,没能充分挖掘组合评价方法的优势。针对此问题,提出用投影寻踪法构建处理组合评价法的优化模型,运用实码加速遗传算法处理该非线性优化问题,所得的指标权重为客观权重,同时得到确定组合评价法组合偏好系数和灰色关联度分辨系数的新方法。实例表明,基于投影寻踪的组合评价方法具有科学性和客观性。     

装备研制方案的技术风险评价

针对装备方案论证阶段技术风险发生概率、后果影响程度与技术风险大小间的关系,基于相对熵原理计算技术风险各评价指标的主观权重与客观权重的组合权重,采用投影法构建技术风险评价模型.实例计算结果表明:技术风险评价模型初步解决了模糊综合评价或灰评价模型所存在的区分性不强、评价结论有片面性、依赖较多的历史经验数据等问题,得到了评价方案集中各方案的技术风险发生概率、后果影响程度及技术风险的排序,计算过程与符合技术风险的内涵要求一致,为装备研制方案的科学决策提供理论依据.     

既有公路服务区设施配置适宜性评价模型

随着社会的进步和发展，既有公路服务区设施配置逐渐难以满足司乘人员多元化的功能需求，为实现提高既有公路服务区设施配置适宜性的目的，本文围绕适用于既有公路服务区设施配置适宜性评价指标体系与评价模型展开研究。首先，从设施状况、服务水平、用户体验三方面，构建了涵盖设施完备率、平均拥堵程度、价格满意度等11项的评价指标体系；其次，在采用AHP法、序关系分析法、熵权法、DEMATEL法等单一赋权法获取了各指标主客观权重的基础上，引入最小二乘法最小化组合权重与主客观权重偏差的平方和，确定了各指标的最优组合权重，由此建立了改进云模型；最后，将研究模型应用于四川省某服务区R中，结合正向与逆向云发生器，计算出该服务区的综合评估云，进而确定评价等级为“良”。结果表明，运用改进云模型对既有公路服务区设施配置适宜性进行评价的方法是可行的。     

充填管道磨损风险评估的组合权重与可变模糊耦合模型

针对充填管道磨损风险各影响因素之间的复杂性和不相容性,引入主客观组合权重与可变模糊集相结合的充填管道磨损风险评估方法。选取充填骨料加权平均粒径、骨料颗粒形状、浆体密度、浆体腐蚀性、管道耐磨性、钻孔内管道内径、管道壁厚、钻孔偏斜率、充填倍线、管道安装质量、流速与临界流速比值和管线变化程度共12项主要影响因子,建立充填管道磨损风险评估的主客观组合权重与可变模糊耦合模型。以国内5座矿山充填系统的输送管道实测数据为例,根据AHP法和熵权法确定评估指标的最优组合权重,然后利用可变模糊模型计算评估对象的综合风险特征值,进而确定充填管道的磨损风险等级,最终通过与其他模型得到的结果进行对比来验证其准确性。研究结果表明:该模型评估结果与其他风险评估模型评估结果相一致,也与现场实际结果相吻合,为充填管道磨损风险评估提供了新的参考方法。     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

Perspherical Approaches for Electrons in Atoms and Charged Excitons in Quantum Wells

Instead of following Fock’s expansion,we solve the Schrodinger equation for some quantum mechanical manybody systems such as electrons in atoms and charged excitons in quantum wells in a similar way in hyperspherical coordinates by expanding the wave functions into orthonormal complete basis sets of the hyperspherical hannonics(HHs)of hyperangles and generalized Laguerre polynomials(GLPs)of the hyperradius.This leads the equation to     

Advances in broadband wireless communications under high-mobility scenarios

Future mobile communication systems aim at providing very high data transmission rates, even in high-mobility scenarios such as high-speed wheel-track trains, maglev trains, highway vehicles, airplanes, guided missiles or spacecraft. A particularly important commercial application is the strong and increasing worldwide demand for high- speed broadband wireless communications （up to 574.8 km/ h test speeds or 380 km/h commercial speeds） in railways, providing data, voice and video services for applications such as onboard entertainment services to passengers, train control, train dispatch, train sensor status handling and sur- veillance. In such high-mobility scenarios, there are a number of communication challenges, including fast hand- over, location updating, high-speed channel modeling, estimation and equalization, anti-Doppler spreading tech- niques, fast power control, and dedicated network architec- ture. Because signal transmission in very high-speed scenarios will inevitably experience serious deterioration, it is imperative to develop key broadband mobile communi- cation techniques for such high-speed vehicles.     

Wuhan University Journal of Natural Sciences TOTAL CONTENTS

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海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Scale-based spatial data model for GIS

Being the primary media of geographical information and the elementary objects manipulated, almost all of maps adopt the layer-based model to represent geographic information in the existent GIS. However, it is difficult to extend the map represented in layer-based model. Furthermore, in Web-Based GIS, It is slow to transmit the spatial data for map viewing. In this paper, for solving the questions above, we have proposed a new method for representing the spatial data. That is scale-based model. In this model we represent maps in three levels: scale-view, block, and spatial object, and organize the maps in a set of map layers, named Scale-View, which associates some given scales.Lastly, a prototype Web-Based GIS using the proposed spatial data representation is described briefly.     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to