一个汉英机器翻译系统中的语义处理模型

简略阐述了三种语义分析理论 -配价语法 ,格语法 ,论旨理论后 ,重点介绍了机器翻译系统所采用的语义模型     

关于物流的科学分类问题（续）

本文最新提出物流最基本的四个固有属性：物（Material）的根本属性，流（Flow）的浪本属性，物和流的主体（Party）属性，物和流的地域（Region）属性。无论自然界物流，还是社会界物流，经济界物流，都具有这四个方面属性（RPMF）。同时，本文首次提出物流四要素RPMF原理。根据物流四要素RPMF原理，提出按各要素的不同属性对物流进行科学分类的方法，并给出物流分类图。     

从职业流动看失业阻滞与再就业机制

从职业流动视角来看 ,失业具有无流动性、下向流动性和被迫性 ;失业阻滞在于职业流动的规模不大 ,制度约束性太强和观念滞后 ;再就业具有上向流动性和主动性 ;再就业机制是一个由经济驱动机制、制度改革机制、就业观念转变机制和劳动力自由流动机制构成的综合性、动态性结构体系。     

文化体制改革困境的政治学思考

文化与政治的关联性决定了政治学是审视文化体制的一个重要视角。文化体制改革在取得进展的同时也面临重重困境。文化属性被泛政治意识形态化、政治体制改革的制约、文化权力主体职能的越位与缺位是文化体制改革困境的政治学根源。     

论知识基本属性间的辩证关系

文章论述了知识的真理性的相对性与条件性及知识的确定性、随机性与模糊性的相互联系,指出知识发展的最高成就是科学(自然科学与社会科学)与技术,人们应运用辩证唯物主义和历史唯物主义的观点和方法分析知识基本属性的辩证关系,到实践中去探索、研究和运用知识,为人类文明与进步提供智力支持。     

产品类型差异下的消费者渠道偏好异质性 ———基于调节定向理论∗

产品类别是消费者行为研究的重要变量,消费者渠道偏好往往因为产品类别的不同而迥异。 消费者购买不同类型产品时的渠道偏好有何不同? 基于调节定向理论,引入产品实用享乐性与风险性,探 究消费者购买不同类型产品时的消费者渠道偏好差异。 围绕产品的实用享乐性、风险性与消费者渠道偏好 的调节定向匹配提出了 4 个假设,运用实验法采集数据,通过对样本数据的多项 Logistic 分析,对假设进行 了检验,并提出企业顾客管理建议,以期为企业根据产品类型区别建设渠道提供决策支持。     

语言多属性决策的目标规划模型

研究了只有部分属性权重信息、属性值以语言变量或不确定语言变量形式给出且决策者对方案有偏好信息的语言多属性决策问题.给出了语言变量和不确定语言变量的运算法则,以及不确定语言变量之间比较的可能度公式,定义了语言变量的偏离度概念.在属性值以1)语言变量和2)不确定语言变量,这两种形式给出的情形下,分别建立了一个基于偏离度的目标规划模型,并通过求解这两种模型分别获得相应的属性权重.然后对于情形1),利用语言加权平均(LWA)算子,对语言决策信息进行加权集成,继而对方案进行排序和择优;对于情形2),利用不确定语言加权平均(ULWA)算子,对不确定语言决策信息进行加权集成,并利用可能度公式构造可能度矩阵(互补判断矩阵),继而利用互补判断矩阵排序公式对决策方案进行排序和择优.最后进行了实例分析.     

A new stratified three-stage unrelated randomized response model for estimating a rare sensitive attribute based on the Poisson distribution

This article suggests an efficient method of estimating a rare sensitive attribute which is assumed following Poisson distribution by using three-stage unrelated randomized response model instead of the Land et al. model (2011 Land, M., S. Singh, and S. A. Sedory. 2011. Estimation of a rare sensitive attribute using poisson distribution. Statistics 46 (3):351–60. doi:10.1080/02331888.2010.524300.[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]) when the population consists of some different sized clusters and clusters selected by probability proportional to size(:pps) sampling. A rare sensitive parameter is estimated by using pps sampling and equal probability two-stage sampling when the parameter of a rare unrelated attribute is assumed to be known and unknown.

We extend this method to the case of stratified population by applying stratified pps sampling and stratified equal probability two-stage sampling. An empirical study is carried out to show the efficiency of the two proposed methods when the parameter of a rare unrelated attribute is assumed to be known and unknown.     

从学理到实践:爱国主义定义的结构性解析

如何界定爱国主义这一定义一直是学术界讨论的问题。《〈中共中央宣传部教育部关于进一步加强和改进高等学校思想政治理论课的意见〉实施方案》实施后,《思想道德修养与法律基础》教材不再运用列宁关于爱国主义的定义,而用了一个新的定义。科学地理解爱国主义不仅是爱国主义本质的内在要求,而且是理性爱国主义教育的前提。从“非人民群众”的爱国情感、“祖国”与“国家”的关系、爱国主义“理性”与“非理性”的关系三个角度进行探讨,认为社会主义国家应倡导理性爱国主义。     

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.