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.     

Robustness issues in multilevel regression analysis

A multilevel problem concerns a population with a hierarchical structure. A sample from such a population can be described as a multistage sample. First, a sample of higher level units is drawn (e.g. schools or organizations), and next a sample of the sub‐units from the available units (e.g. pupils in schools or employees in organizations). In such samples, the individual observations are in general not completely independent. Multilevel analysis software accounts for this dependence and in recent years these programs have been widely accepted. Two problems that occur in the practice of multilevel modeling will be discussed. The first problem is the choice of the sample sizes at the different levels. What are sufficient sample sizes for accurate estimation? The second problem is the normality assumption of the level‐2 error distribution. When one wants to conduct tests of significance, the errors need to be normally distributed. What happens when this is not the case? In this paper, simulation studies are used to answer both questions. With respect to the first question, the results show that a small sample size at level two (meaning a sample of 50 or less) leads to biased estimates of the second‐level standard errors. The answer to the second question is that only the standard errors for the random effects at the second level are highly inaccurate if the distributional assumptions concerning the level‐2 errors are not fulfilled. Robust standard errors turn out to be more reliable than the asymptotic standard errors based on maximum likelihood.     

Reconfiguring the innovation policy portfolios for Taiwan's SIP Mall industry

Since the year 2000, silicon intellectual property (SIP), which can minimize the gap in ‘design productivity’ that exists with systems-on-chip (SOC), has become one of the most important factors in the development of integrated circuit (IC) products in the SOC era. Although SIP is very important for IC industry development, complicated business, technical as well as legal issues inside SIP transactions have hindered successful transactions and the integration of SIPs into SOCs. Thus, web-based SIP e-Commerce mechanisms, called SIP Malls, have emerged, aiming to resolve complex SIP issues. To maintain its leading position and competitiveness in the World's IC industry, as well as the value added by SOC products in Taiwanese IC firms, the Taiwanese government has developed SIP Malls, using innovation policy tools. However, the Taiwanese SIP Mall industry remains immature. No existing Taiwanese SIP Malls generate a profit or account for a significant share of worldwide SIP transactions. This research will develop an analytical framework for defining an innovation policy portfolio that aims to develop Taiwan's SIP Mall industry, so that it will enhance the value added of SIP Malls and, thus, the nation's competitiveness in the SIP and IC industries, something which already has become one of the Taiwanese government's major concerns. The industry innovation requirements (IIRs) are summarized using the Delphi method. Meanwhile, the major IIRs identified by Decision Making Trial and Evaluation Laboratory (DEMATEL) are introduced. After the IIRs are derived, the relationships between the IIRs and innovation policy tools are derived by Grey relational analysis (GRA). Then, the innovation policy tools are clustered, based upon the Grey grades derived by GRA. Finally, reconfigured innovation policy portfolios are presented for the Taiwanese government's policy definition. The results demonstrate that developing an innovative policy portfolio that includes scientific, technical, educational, public enterprise, information, legal and regulatory, financial, and taxation policy tools will be the most necessary step towards developing Taiwan's SIP Mall industry.     

基于合作关系的供应链信息共享模式研究

首先研究了供应链上下游合作伙伴间信息共享博弈情况，并分析了影响信息共享的障碍因素。然后，从合作伙伴合作关系的视角探讨了供成链中合作伙伴的类型及合作目的，最后以此为基础构建出供应链合作伙伴的信息共事模式及技术支撑体系。     

An Average Derivative Estimation of Stochastic Frontiers

This paper utilizes the average derivative estimation of Stoker (1986) and the pesudo-likelihood estimation of Fan, Li, and Weersink (1996) to estimate a semiparametric stochastic frontier regression, y = g(x) + , where the function g(.)is unknown and is a composite error in a standard setting. The proposed semiparametric method of estimation is applied to data on farmers' credit unions in Taiwan. Empirical results show that the banking services of the farmers' credit unions is subject to economies of scale, but high degree of cost inefficiency in operation.     

我国房地产投资基金的发展研究

首先揭示我国发展房地产投资基金(REITs)的意义所在,然后深入分析我国在发展REITs过程中所遇到的问题和障碍,并提出若干政策和建议。     

整合产品服务系统——实现循环经济的新途径

整合产品服务系统(IPSS)是一种社会组织创新战略,通过将目前仅生产和销售有形产品的相互分离的工业生产与服务体系有机地整合,以比传统生产和消费模式更低的环境代价,有效满足顾客需求。作为对传统商业模式的革命性变革,整合产品服务系统是促进可持续发展和循环经济的有效手段和必由之路。本文讨论其产生的背景,给出其定义和理论框架,介绍其发展历程,以便为我国发展循环经济提供借鉴。     

我国个人金融业务中电子银行发展现状分析

电子银行的发展从最初的电话银行,到现在的网上银行、WAP银行和手机银行(短消息SMS),经历了一个不断成长、完善的过程。电子银行在我国发展较快,在个人金融业务中处于越来越重要的地位,也是各商业银行发展而构建共同性的战略性选择。文章试图从我国电子银行的发展状况、存在的问题,探索网络银行在现阶段的发展模式。     

基于GIS的配送车辆调度系统的设计与实现

本文分析了物流配送与GIS的特点和功能，简要介绍了我们所设计开发的基于CIS的配送车辆调度系统。     

报废汽车回收体系结构模型研究

报废汽车的回收重用一方面是＂生产者责任延伸制＂在汽车行业贯彻实施的结果,另一方面来源于再制造环节中蕴藏的丰厚利润的诱导.目前我国回收利用报废汽车的方式比较落后,主要是对原材料进行重用.本文构建了一个由汽车制造商牵头纽建,以功能多样化的回收中心作为中心处理单元的报废汽车回收体系结构模型,以期实现更高层次的回收重用.