AHP法在江西脆弱生态环境评价指标体系中的应用

根据区域脆弱生态环境评价指标体系建立的原则，结合本区脆弱性的特点，建立了江西省脆弱生态环境评价指标体系；采用AHP法计算各指标的权重，得到了4个层次的层次单排序。在此基础上，确定了各层次各因子相对的权重，用于评价江西省脆弱生态环境的脆弱程度。结果表明，江西省脆弱生态环境评价指标体系中，目标要素B以人为干扰脆弱（B2）为主，占73％；指标层（D）中20个指标相对应总目标A的权重值排序结果显示，森林覆盖率所占的权重最大，达0．2044，水土流失强度的权重次之，为0．1825，二者占20个指标的比例达39％之多，平均各占19．5％；其他18项指标之和只占61％，平均各占约39％，且单项权重值均小于0．1，足以反映影响江西省脆弱生态环境程度的主导因子是人为干扰脆弱为主，即森林覆盖率和水土流失强度。     

汽车平顺性评价体系

为了对汽车平顺性进行评价以及对悬架参数进行优化选择，根据汽车平顺性的3个评价指标，充分利用主观评价法和客观评价法各自的优点，建立了一个汽车平顺性评价体系．根据各评价指标的重要性，利用层次分析法，确定它们的主观权重；根据各评价指标的性能统计数据，利用熵值法，确定它们的客观权重；综合主观权重与客观权重，确定各评价指标的最终权重；根据各评价指标的最终权重与性能统计数据计算汽车平顺性的评价值．该评价体系以逐次淘汰的方式求优，通过最小的评价值与最优的汽车平顺性相对应的方式评选出最优的悬架参数方案，该体系便于计算机编程使用．     

基于熵权法对长江水质的综合评价

以长江流域的水质为研究对象，应用熵权法对其进行量化评价，考虑多个样本间的联系，根据各项指标的差异程度，确定各指标的权重，可削弱异常值的影响，使评价结果更合理、准确。文章通过对长江近两年多的水质情况分析，根据各污染因子对水质的影响差异确定其权重，运用矩阵分析的方法建立了水质模糊综合评价模型，从而进行了水质多指标的综合评价。     

主成分分析法在地区企业经济效益评价中的应用

在多指标综合评价中，主成分分析方法是一种较为客观的综合评价方法．利用这种方法对企业的经济效益指标进行综合评价，不仅能综合反映各企业经济效益强弱的各项信息，而且可以确定各指标的客观权重．由此避免了决策者在多指标综合评价中遇到的需要确定指标权重的问题．应用主成分分析方法，以2001年中国各地区全部国有及规模以上非国有工业企业主要经济效益指标为基础数据，对各地区工业企业经济效益进行综合评价．评价结果与各地区企业的实际情况基本吻合．     

基于因子分析定权的水质评价模型

在因子分析法的基础上,提出基于因子分析定权的水质评价模型.该模型由因子得分系数和方差贡献率确定指标权重,然后以指标权重与各水样相应指标的标准化值进行加权平均得到水质评价的综合指标值,进而对评价样本进行排序和分级.结合实例应用并通过与其它几种水质评价方法的比较,进一步验证了该模型的合理、简便和实用.     

住宅小区房地产投资经济风险的评估

文章分析了住宅小区房地产投资经济风险的多层次影响因素,在单指标因子的基础上运用层次分析法建立总目标影响结构层次模型,确定了各指标归一化权重.并运用模糊综合评价模型将各评价单元加以归并,获得目标的评价总分值.文章将风险评价度予以量化处理,并通过实例分析对该理论作了实际的操作,为房地产投资风险研究方法的进一步改进提供了可靠的依据.     

我国上市公司资本结构影响绩效的实证分析

该文首先构建了能全面反映我国上市公司资本结构特征的指标体系，然后用因子分析方法将这些指标综合成彼此互不相关的少数几个主因子．在此基础上，用主因子对代表公司绩效的托宾Q值作多元回归分析．最后，根据所建模型分析了资本结构中影响公司绩效的主要因素，以及这些因素与公司绩效之间的关系，为上市公司优化其资本结构和提高公司绩效提供决策依据．     

基于模糊多层次综合评价的风电建设项目社会评价

根据风电建设项目自身的特点运用模糊数学的理论和方法,建立风电建设项目社会评价的模糊多层次综合评价模型,建立风电建设项目社会评价的指标体系。运用AHP的基本思想,创造性的使其与模糊多层次综合评价模型中指标分层思想相结合,对指标分层,确定各指标权重。最后,运用该模型对某风电建设项目进行社会评价,验证其实用性,为项目的投资决策和资本运作提供科学的依据。     

服装模特形体评价标准分析与研究

针对服装行业中所选用的模特评价标准缺乏准确性和科学性,力求为构建一套具有较强科学性的服装模特体型评价标准进行基础的定量分析,为正确制定号型规格标准、建立服装原型等提供理论参考.对来自20所高校服装表演专业的150名学生的15项数据指标利用非接触式人体测量仪进行测量,进而随机提取55名女大学生模特形体数据样本进行分析处理.首先,用SPSS软件对数据进行因子分析处理提取出三个主成分因子;其次,对三个主成分因子进行权重分析确定各形体指标的权重系数.结果表明:身高、胸围、腰围、臀围、体重等指标是最重要的模特体型因子.根据权重系数的大小构建出科学简便的模特体型评价得分标准.     

层次分析法在高校领导干部经济责任审计评价中的应用

从审计实践的角度,建立了高校领导干部经济责任审计评价指标体系。建立的递阶层次结构共分为4层,从整体上对审计对象经济责任的履行情况和业绩进行综合分析。专家小组根据构建的评价指标体系,运用两两比较法,逐层分析指标之间相对重要性,综合其结果,得出判断矩阵,通过应用层次分析法及MATLAB软件,探讨了在确定高校领导干部经济责任审计评价指标权重中的一般程序,计算出各指标对总目标的权重值,相对准确地反映出评价对象的客观情况,不仅使审计评价结果更加直观化、数量化,而且还实现了高校领导干部经济责任审计的科学评价与判断。     

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).     

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.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.