Probability theory in fuzzy sample spaces

This paper tries to develop a neat and comprehensive probability theory for sample spaces where the events are fuzzy subsets of The investigations are focussed on the discussion how to equip those sample spaces with suitable -algebras and metrics. In the end we can point out a unified concept of random elements in the sample spaces under consideration which is linked with compatible metrics to express random errors. The result is supported by presenting a strong law of large numbers, a central limit theorem and a Glivenko-Cantelli theorem for these kinds of random elements, formulated simultaneously w.r.t. the selected metrics. As a by-product the line of reasoning, which is followed within the paper, enables us to generalize as well as to bring together already known results and concepts from literature.Acknowledgement. The author would like to thank the participants of the 23rd Linz Seminar on Fuzzy Set Theory for the intensive discussion of the paper. Especially he is indebted to Professors Diamond and Höhle whose remarks have helped to get deeper insights into the subject. Additionally, the author is grateful to one anonymous referee for careful reading and valuable proposals which have led to an improvement of the first draft.This paper was presented at the 23rd Linz Seminar on Fuzzy Set Theory, Linz, Austria, February 5–9, 2002.     

Income distribution and inequality measurement: The problem of extreme values

We examine the statistical performance of inequality indices in the presence of extreme values in the data and show that these indices are very sensitive to the properties of the income distribution. Estimation and inference can be dramatically affected, especially when the tail of the income distribution is heavy, even when standard bootstrap methods are employed. However, use of appropriate semiparametric methods for modelling the upper tail can greatly improve the performance of even those inequality indices that are normally considered particularly sensitive to extreme values.     

基于战略性的全面人力资源管理信息系统的开发与应用

分析企业人力资源管理信息化现状,提出基于战略性的现代人力资源管理的5P模式;并在此基础上设计与开发了人力资源管理信息系统,用于企业实际,提高了企业人力资源管理水平。     

Product attributes and models of multiple discreteness

Demand for product characteristics is examined within the context of models that allow for both corner and interior solutions corresponding to zero and non-zero demand. Product attribute information is associated with marginal utility and curvature (satiation) parameters of various utility functions. Empirical applications demonstrate the need for incorporating characteristics in a fairly general way. We also compare our approach to an ideal point and pure Lancasterian versions of our nonlinear utility model. The data support our model over either the ideal point or Lancasterian variants.     

高速公路交通量的产生机理及其对运输通道结构的影响分析

定性地探讨高速公路对潜在交通量的吸引力，并对其扰动效应进行概述；运用SUE（Stochastic User Equilibrium,随机用户平衡）的思想，建立运输通道分担模型，详尽地阐述高速公路对其他运输方式的影响机理。     

网络环境下物流企业实行零基预算管理模式研究

费用预算是物流企业成长管理的一项重要内容，利用网络技术为企业构筑的管理平台，编制切实可行的费用预算，对于约束和控制费用的发生，降低物流企业成本具有重要作用。     

企业的物流模式改革

首先阐述了在企业物流改革中面临的问题及其未来的发展方向,然后对某一具体生产企业的现状及特点加以分析后提出了改革现有物流模式,实施一体化物流信息系统的方案和策略。     

基于循环经济下企业商业模式创新的研究

论述了循环经济是当前世界经济发展的主要方向,已被我国确定为今后经济的发展模式,加快循环经济的发展是解决经济增长与资源环境之间矛盾的根本手段。提出了现代企业只有在商业模式上实现创新,才能创造产业产品的价值和效益。     

关于铁路托盘运营管理问题的研究

针对目前我国托盘运用现状，阐述了铁路托盘搬运中的优点及问题，并对铁路托盘经营模式进行了分析，最后给出了组建铁路托盘经营机构的建议。     

制度环境的改善与我国房贷证券化的推进

实行房贷证券化,能够积极有效地推动银行和金融市场的发展,增强国家宏观政策施行的效果,从而促进经济社会的发展。借鉴美国等模式的经验,推进我国房贷证券化,需要构建适合我国MBS发展模式及其体制建设,为住房抵押贷款证券化提供发展空间,创造发展环境。