基于直觉模糊层次分析法的公路边坡稳定性评价模型

为了能够处理具有模糊性信息的公路边坡预警系统,完善边坡稳定性评价方法。首先建立公路边坡稳定预警评价指标体系,并分别按照成本型和效益型进行数据标准化处理,转换为区间模糊数。其次通过直觉模糊层次分析法确定各指标因素权重。最后提出转换公式,将不同指标监测值转化为直觉模糊数,并利用直觉模糊加权相似度排序进行稳定性评价。研究成果不仅完善了边坡稳定评价模型,也为交通部门提供了决策参考。     

基于属性识别理论的公交智能化调度评价

利用属性区间识别理论的基本原理,建立公交智能化调度系统的评价模型。首先,建立分级标准矩阵,将评价指标归类为效益型和成本型指标。根据不同种类的指标特性,确定属性测度区间函数,并绘制函数示意图。然后,采用变异系数法确定指标的权重系数值。由权重值和属性测度区间函数,按照置信度准则和评分准则,判定公交调度方案的级别。最后,以某市的智能公交调度数据为研究对象进行算例分析,计算结果表明:采用属性区间识别理论可以科学有效地评价公交调度方案的实施效果。     

灰色关联分析法在高速公路标准化管理绩效评价中的应用

灰色关联分析法针对信息不完全明确的灰色系统,能够提高小样本无规律指标的评价问题的准确性.针对高速公路标准化管理系统的不确定性及高速公路管理绩效评价研究的缺失,首先设立指标评分标准并通过层次分析法确定各个指标权重,进而利用灰色关联分析法建立高速公路标准化管理绩效评价模型.通过对河南省6条高速公路标准化管理进行综合评价,其结果表明,该方法能够使研究者更直观、准确地了解高速公路标准化管理现状,并为高速公路标准化管理绩效水平的改善提供依据.     

虚拟企业伙伴选择的多目标方法新探

虚拟企业成功的关键是能否选择出理想的合作伙伴。在分析虚拟企业理想伙伴基本特征的基础上 ,抽象归纳出选择理想合作伙伴应考虑的主要因素 ,对多目标决策方法加以适度改进 ,给出了选择理想合作伙伴的一种新方法。对多目标中的效益型指标、成本型指标、区间型指标及固定型指标分别进行标准化 ,根据标准化后的最优点和最劣点 ,求出各方案的密切值 ,由密切值的大小来选择最终合作伙伴。     

基于模糊AHP-TOPSIS的环境意识设计方案相对绿色度研究

 针对机械产品环境意识设计方案评价中评价指标值具有模糊性、指标权重具有不完全性的问题,提出基于模糊AHPTOPSIS的环境意识设计机械产品相对绿色度综合评价方法。为充分结合两者的优点,先运用模糊AHP将各指标因素划分成有序层次,科学确定各层次权重,再结合模糊TOPSIS构建模糊AHP-TOPSIS综合评判模型,根据有限个成本型和效益型定性定量指标与理想化目标的接近程度进行排序确定最优方案。该方法严格区分了效益型和成本型定性指标、效益型和成本型定量指标,构建完善了基于全生命周期的环境意识设计机械产品指标评价的原则与体系。通过实例分析,表明该评价方法在理论上具有科学性,在实践中具有可操作性。     

一种基于区间灰色梯形模糊数的多属性群决策方法

针对属性权重未知,属性值为区间灰色梯形模糊数的多属性群决策问题,提出了一种改进的灰色关联决策方法.首先,定义了区间灰色梯形模糊数的概念并建立了区间灰色梯形模糊数的相关运算规则以及区间灰色梯形模糊数之间的距离;然后,采用算术加权平均算法将个体信息集结群信息,基于信息熵建立了指标权重的求解模型,并采用灰色关联方法对方案进行排序;最后,通过实例说明了本方法的有效性.     

基于熵权的渠道选址可拓物元评价研究

通过建立可拓物元模型,对效益型和成本型指标相结合的渠道选址绩效评价体系展开研究,利用熵权优化适合度物元集降低信息差异性,在优化指标精度和提高信息决策水平方面具有一定的作用.     

基于多理论组合决策的矿山安全绩效评价规律分析

以矿山安全绩效评价及其规律为研究对象,将矿山安全指标分为状态指标与绩效指标。通过多种理论组合构建模型对矿山安全绩效做出评价,并对安全绩效评价的内在规律进行分析。综合矿山的5个安全绩效评价指标,考虑指标值为区间数的情况,利用灰色区间关联聚类理论构建模型对20个样本矿山的安全绩效进行聚类分析与评价。将矿山安全绩效评价作为决策属性,安全状态指标作为条件属性,考虑到属性中含有的偏好信息,利用优势关系粗糙集与粗糙近似决策理论对矿山安全绩效评价规律进行分析,将各安全状态指标与安全绩效评价之间的内在关系加以揭示。研究结果表明:多理论组合决策模型能够对矿山安全绩效进行评价并揭示其内在规律,可为矿山安全生产工作提供指导与借鉴。     

区间数理论在武警部队绩效评价权重确定中的运用——以军需业务人员绩效评价为例

绩效评价是国防与维稳经济学研究的重要课题,本文在武警部队绩效评价中引入区间数理论,结合层次分析法,利用区间数特征根方法,以武警军需业务人员绩效评价为例,计算了评价指标权重,丰富了武警部队综合评价理论,有利于提高评价的合理性。     

区间数多属性决策的Monte Carlo方法

定义了新的方案比较的可能度.对于属性值以区间数形式给出的区间型多属性决策问题,提出了一种新的决策方法.该方法无需计算方案综合评价值的概率分布,只要已知各方案各属性值的概率分布即可对区间数进行比较和排序,具有简洁、直观、易于计算的特点.最后通过假定方案各属性值服从均匀分布的实例对方法的有效性和实用性进行了说明.     

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…     

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。     

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     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

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.     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.