基于模糊软矩阵的多专家群决策方法

对模糊软矩阵信息的多专家群决策问题进行了研究.在模糊软集的基础上定义了模糊软矩阵,并定义模糊软矩阵间的相关运算法则,基于这些运算给出了加权算术平均算子和加权几何平均算子.针对在给定模糊软矩阵信息下如何对论域元素进行排序的问题定义了可能度,从而得到可能度矩阵并结合排序向量法给出了一种排序方法.最后,利用集成算子和可能度矩阵等工具给出了一种基于模糊软矩阵信息的多专家群决策途径,并利用实例验证该决策方法的可行性和有效性.     

时序广义犹豫模糊软集及其决策方法

针对犹豫模糊软集的属性参数并非同等重要的情形,同时考虑到时间的变化对决策会产生影响,在犹豫模糊软集的基础上,提出了时序广义犹豫模糊软集的概念。基于时序广义犹豫模糊软集的概念,定义了其基本运算,分析了相应的运算结果,并讨论了运算性质。提出了时序广义犹豫模糊软集的一种决策方法,给出了具体的决策步骤,并通过实例验证了该决策方法的合理性与可行性。     

基于动态双极值模糊软矩阵的群决策新方法

研究了动态情况下的双极值模糊软矩阵的群决策问题.在实际生活中,时间对决策的影响至关重要,基于此提出了一种新的基于熵权的动态群决策方法.给定一个新的信息熵公式,并建立非线性规划模型,从而确定时间权重.然后利用集成算子将动态双极值模糊软矩阵集成为综合双极值模糊软矩阵,根据中位数水平软集计算出各对象的机会值,得出最优决策.最后通过实例证明此决策方法的合理性与可行性.     

广义直觉模糊软集的格结构

为推广软集理论的应用范围,研究了广义直觉模糊软集的格结构.介绍了广义直觉模糊软集的概念,给出了广义直觉模糊软集的一些算子及其性质.利用定义的4个交并算子,讨论了广义直觉模糊软集的格结构.最后得到了广义直觉模糊软集的两种格结构,并且证得这两种格都为有界分配格.     

基于区间直觉模糊集的研究型高校可持续发展能力评价

定义了基于Einstein运算规则的区间直觉模糊数运算规则以及区间直觉模糊信息的IIFEWG算子和区间直觉模糊信息的IIFEWA算子.针对准则值为区间直觉模糊数的多准则决策问题,提出一种区间直觉模糊多属性决策方法.该方法利用IIFEWG算子或者IIFEWA算子对准则进行集成,得到各方案的综合区间直觉模糊数,通过比较各方案综合区间直觉模糊数的得分函数值和精确函数值得到方案集的排序.从研究型高校的科研能力、人才培养、财务发展潜力和财务当前水平评价其可持续发展能力,评价过程及结果表明了基于Einstein运算规则的区间直觉模糊信息集成方法的有效性和可行性.     

模糊软集运算的分析与研究

首先对模糊软集的交、并、补运算进行了补充和修正,然后针对模糊软集参数集不相同的情况进行分析,给出模糊软集的两种不同理解方式,并提出了弱模糊软集和强模糊软集的概念。在这两种解释下采用相同的方法来构造交、并、补算子,并定义新的包含关系,使得在这两种解释下通过交、并运算能够实现信息粒子的泛化与细化。同时给出新的解释下交、并、补运算的性质,证明这两种解释下的交、并、补运算都满足De Morgan律。     

一种基于新的不确定语言集成算子的多属性群决策方法

针对不确定语言评价信息的多属性群决策问题,为避免直接运算时产生的越界现象,文章构建基于等信息转换理论的不确定语言模型,定义该模型下的新运算法则,提出新运算法则下的广义不确定语言加权平均算子(ULWA_2)和广义不确定语言有序加权平均算子(ULOWA_2).基于所定义的不确定语言集成算子,文章提出一种多属性群决策方法,并通过实例说明该决策方法的可行性与有效性.     

模糊广义决策信息系统的证据特征与信任约简

探究模糊广义决策信息系统的证据特征和信任约简.首先,给出模糊广义决策信息系统中的模糊上、下近似算子及其相关性质.然后,基于证据理论探讨模糊广义决策信息系统的数值特征,并在模糊广义决策信息系统中,利用证据理论中的模糊信任和模糊似然函数对模糊近似集进行刻画.最后,根据模糊信任函数定义的属性重要度,提出模糊广义决策信息系统信任约简的算法,并给出实例验证其有效性.     

广义Pythagorean模糊软集的代数结构

拓展Pythagorean模糊软集理论,引进一种广义Pythagorean模糊软集的概念。为了给广义Pythagorean模糊软集建立理论基础,给出该模型的一些运算算子,并讨论其格结构。首先建立了3种广义Pythagorean模糊软集的格结构,然后证明了3种格结构是软代数结构,最后确立了3种有补分配格,即布尔格。     

一种新的双犹豫模糊软集及其在决策问题中的应用

将犹豫模糊集和双软集模型相结合,给出一种新的双犹豫模糊软集的概念,以及双犹豫模糊软集上的算子,如补、交、并、扩张并、扩张交、限制并和限制交等,并通过约简双模糊软集和水平截集,提出一种基于决策的双犹豫模糊软集的可调方法.该算法给出了做最优选择的方法.     

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)

正~~     

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.