内陆外向型城市建设的障碍因素集层次结构分析模型

本文以西安内陆外向型城市建设为例，运用系统工程的基本思想、网络理论及综合评价技术，构建了内陆外向型城市建设的障碍因素集层次结构分析模型，找到了西安内陆外向型城市建设的主要和次要障碍因素集，提出了在目前和今后较长的一段时间内，西安内陆外向型城市建设的主要任务是大力发展第三产业。本模型方法对其它地区的内陆外向型城市建设及复杂的社会经济系统障碍因素定量分析研究也有较好的参考价值     

一类变系数高阶线性齐次微分方程解的探求(英文)

本文对系数全为多项式和广义多项式的n阶线性齐次微分方程引入特征方程的概念。给出了具有指数型解的充要条件，推广了经典的常系数线性方程和著名的Euler方程的的解法，为求解变系数线性微分方程提供了有效的方法。     

系统科学在大型技术装备项目中的应用

本文论述了系统科学的理论和方法在大型技术装备项目管理中的应用和发展,着重介绍了项目规划的方案优选和项目管理组织体系、计划控制系统,质量控制系统、项目管理信息系统。从这个项目管理系统的总体看,随着加工的进展,系统内信息不断扩大和加深,形成生产管理信息回路,而且采用人-机结合的信息网络,为配合项目管理发挥了重要作用。     

On the difficulty of making social choices

The difficulty of making social choices seems to take on two forms: one that is related to both preferences and the method used in aggregating them and one which is related to the preferences only. In the former type the difficulty has to do with the discrepancies of outcomes resulting from various preference aggregation methods and the computation of winners in elections. Some approaches and results which take their motivation from the computability theory are discussed. The latter institution-free type of difficulty pertains to solution theory of the voting games. We discuss the relationships between various solution concepts, e.g. uncovered set, Banks set, Copeland winners. Finally rough sets are utilized in an effort to measure the difficulty of making social choices.     

一类具耗散的Schrodinger方程的整体吸引子的存在性

本文对一类具耗散的Schrodinger方程的整体吸引子的存在性问题进行了研究.研究表明:这类系统在特定的抽象空间中存在整体吸引子.     

非退化扩散过程极性的充分条件

讨论了多维非退化扩散过程样本轨道的性质,得到了其极性的充分条件     

数据挖掘中关联规则的规范化描述

一、引言数据挖掘(Data Mining)是近年来随着人工智能和数据库技术的发展而出现的一门新兴学科。它是从大量的数据中筛选出隐含的、可信的、新颖的、有效的信息的高级处理过程。关联规则(Association Rule)是其中重要的研究课题,是数据挖掘的主要技术之一,也是在无指导学习系统     

An Integrated Risk Assessment Model of Township‐Scaled Land Subsidence Based on an Evidential Reasoning Algorithm and Fuzzy Set Theory

Land subsidence risk assessment (LSRA) is a multi‐attribute decision analysis (MADA) problem and is often characterized by both quantitative and qualitative attributes with various types of uncertainty. Therefore, the problem needs to be modeled and analyzed using methods that can handle uncertainty. In this article, we propose an integrated assessment model based on the evidential reasoning (ER) algorithm and fuzzy set theory. The assessment model is structured as a hierarchical framework that regards land subsidence risk as a composite of two key factors: hazard and vulnerability. These factors can be described by a set of basic indicators defined by assessment grades with attributes for transforming both numerical data and subjective judgments into a belief structure. The factor‐level attributes of hazard and vulnerability are combined using the ER algorithm, which is based on the information from a belief structure calculated by the Dempster‐Shafer (D‐S) theory, and a distributed fuzzy belief structure calculated by fuzzy set theory. The results from the combined algorithms yield distributed assessment grade matrices. The application of the model to the Xixi‐Chengnan area, China, illustrates its usefulness and validity for LSRA. The model utilizes a combination of all types of evidence, including all assessment information—quantitative or qualitative, complete or incomplete, and precise or imprecise—to provide assessment grades that define risk assessment on the basis of hazard and vulnerability. The results will enable risk managers to apply different risk prevention measures and mitigation planning based on the calculated risk states.     

关于三分Cantor集的结构的一些新结论

旨在采用代数的方法来研究三分Cantor集的结构特点。主要结果除了给出三分Cantor集的代数构造外还定义了仿四进位；结合代数构造、拓扑构造以及仿四进位分别给出并证明了三分Cantor集及其余集的结构公式，从而改进了已有的结论。