Consumption Patterns of Chinese Children

In the ten-year period from 1990 to 1999, children's consumption has increased dramatically in proportion to family income. In 85% of urban families, children's average consumption is equal to one third or more of the family's income. Resources are being directed to children's food and dietary supplements, toys, travel, computers and other electronic equipment, and educational resources. Children perceive that they have a significant influence on the family's financial decision-making. Problems related to children's consumption include indulgence in unnecessary or harmful purchases, and conspicuous consumption that cannot be sustained by the family's income. While some child-focused spending is viewed as enriching development, other expenditures may harm the family's economic well-being and foster an overly materialistic outlook among children.     

宗申集团核心竞争力创新模式比较研究

在市场竞争日益激烈的今天,企业核心竞争力的培育无疑成为众多企业关注的焦点。本文运用比较分析方法论述了宗申集团的核心竞争力创新模式。在借鉴与分析海尔集团核心竞争力的基础上,对宗申集团的创新模式提出了几点建议。     

Fast retraction of evidence in a probabilistic expert system

We present and justify a propagation algorithm to facilitate the simultaneous calculation, for every node in a probabilistic exper system of the distribution of the associated random quantity, conditional on all the evidence obtained about the remaining nodes.     

基于顾客资源的动态竞争优势

随着市场竞争环境变化的加剧,企业战略竞争的基点正在从企业内部的资源转移到企业适应外部环境的动态能力上,顾客资源因能有效地衔接企业内部资源和外部环境机会而成为弥足珍贵的战略性资源,以顾客资源为基础构筑的核心竞争力正日益体现出强大的动态竞争优势。因此,企业只有通过加快转变企业的战略管理理念、重构企业内部的业务流程、改革传统的价值链模式和实施企业的顾客忠诚化管理等途径构筑基于顾客资源的动态竞争优势,才能将企业立于竞争的不败之地。     

Factor analysis for ranked data with application to a job selection attitude survey

Summary.  Factor analysis is a powerful tool to identify the common characteristics among a set of variables that are measured on a continuous scale. In the context of factor analysis for non-continuous-type data, most applications are restricted to item response data only. We extend the factor model to accommodate ranked data. The Monte Carlo expectation–maximization algorithm is used for parameter estimation at which the E-step is implemented via the Gibbs sampler. An analysis based on both complete and incomplete ranked data (e.g. rank the top q out of k items) is considered. Estimation of the factor scores is also discussed. The method proposed is applied to analyse a set of incomplete ranked data that were obtained from a survey that was carried out in GuangZhou, a major city in mainland China, to investigate the factors affecting people's attitude towards choosing jobs.     

冗余度机器人的运动规划碰撞算法

在考虑了操作机的关节极限、自碰撞和静态障碍物的情况下,从给定的初始位形出发,发现一条到末端效应器目标位置和姿态的相连可到达路径。方法给出了机器人操作机点到点逆运动学问题求解算法,利用碰撞算法实现了冗余度机器人运动规划,仿真验证了该方法的有效性,并表明了该方法具有较大的实用价值。     

优选方案定量评价模型研究

在确定评价指标体系的基础上，如何对若干事物或方案进行选优是一个十分有意义的问题．作者利用模糊多目标决策对此进行研究，并通过实例说明该方法的有效性与实用性．     

基于价格的消费者信息搜寻过程研究

消费者在购买商品之前,信息搜集是一个必不可少的阶段。消费者的信息搜集过程是比较复杂的。文章通过构建信息搜寻模型,并对影响信息搜集的因素进行分析,认为产品的价格是影响信息搜集量及其持续时间的主要因素,即消费者在购买高价商品时花费的时间远远大于购买低价商品所花费的时间,并用实例进行验证。     

动静态属性数据相结合的客户分类方法研究

研究了一种客户动态、静态属性数据相结合的客户分类方法。提出了客户时间序列的加权处理方法,并应用客户时间序列的统计特征作为聚类特征向量,采用混合式遗传算法对客户聚类,使每一类客户具有相似的时序特征。在此基础上将聚类结果与客户的静态属性数据相结合,对客户进一步分类。实验结果表明,与传统的基于静态属性数据的客户分类方法相比,本文的方法提高了客户分类的准确性。