基于模糊层次分析法的地铁施工风险评估

由于城市地铁施工设计方案和地下条件的复杂性,地铁施工建设过程中极易导致事故的发生。论文首先分析影响地铁施工的客观风险和技术风险,利用专家调查法和模糊层次分析法得出技术风险中设计方案缺陷是其主要风险;然后,从导致设计方案缺陷的详细风险因素中利用优先关系判断模糊矩阵,得出地铁施工中透水是最易导致事故发生的风险因素。有效控制地铁施工过程中的风险因素,才能从根本上预防事故的发生。     

基于信息理论的核电厂操纵员认知工作负荷研究

文章基于信息理论模型下信息传输原理——信源通过编码器到信道,再经译码器传输给信宿,提出了核电厂操纵员认知工作负荷模型。将显示屏显示的信息、其他操纵员口述信息看做信源,人的视觉听觉接收器看做编码器,大脑中枢及附属神经系统看做信道,大脑中枢信息处理为译码器,人机系统为信宿。并提出了该模型下的"编码器","译码器"阶段及界面管理的认知工作负荷的几个影响因素,用层次分析法分析验证了它们的重要程度,为提高操纵员认知工作效率提供建议。     

蔬菜供应链绩效评价研究

从绩效角度出发,构建了以供应链的物流水平、成本费用、服务质量三个维度的蔬菜绩效评价指标体系,并确定了运用层次分析法与模糊综合评价法相结合的绩效评价方法.通过实证分析某蔬菜基地,绩效评价结果表明了该蔬菜供应链绩效处于一般水平,这与实际情况相符,证明了此模型和方法的可行性和可操作性.     

Corporate and Individual Influences on Managers' Social Orientation

This paper reports research on the influence of corporate and individual characteristics on managers' social orientation in Germany. The results indicate that mid-level managers expressed a significantly lower social orientation than low-level managers, and that job activity did not impact social orientation. Female respondents expressed a higher social orientation than male respondents. No impact of the political system origin (former East Germany versus former West Germany) on social orientation was shown. Overall, corporate position had a significantly higher impact on social orientation than did the characteristics of the individuals surveyed.     

虚拟企业伙伴选择方法的研究

选择正确的合作伙伴是虚拟企业组建的关键步骤之一,也是虚拟企业成功运作的首要前提。针对某一具体案例,从目前虚拟企业伙伴选择的几种典型方法入手,运用系统研究方法,对各方法的具体思路作一总结,并提出了各方法的适用范围、优势与弊端,同时,找出了它们之间的差异所在。     

基于模糊分析法的第三方物流顾客满意度综合评价

第三方物流作为企业第三利润源泉,凸显其重要的作用。企业的顾客满意度分析是关系企业成败的关键因素。因此本文运用模糊层次分析方法,并结合实证研究,建立第三方物流的顾客满意度指标体系和评价模型。     

电子商务企业配送中心选址评价指标体系及模糊综合评价

电子商务环境下的物流配送中心选址涉及到多方面的因素,是一项复杂的系统工程。在建立选址模型时,很难将选址中的所有影响因素考虑周全,即使把这些因素考虑全面,也很难量化形成模型中的约束条件。所以,在进行电子商务环境下的物流配送中心选址时,应咨询和参考各相关专家的意见和建议,进行定性的选择。因此,提出模糊综合评价法来确定电子商务环境下配送中心选址方法。     

知识管理绩效评估的实证分析

知识管理是企业管理划时代的变革,知识管理的绩效评估体系仍然是一个新的领域,仍处于探索阶段。所以必须在现有知识管理评估方法的基础上,通过对知识管理目标体系的分析和相关指标体系的设计,运用层次分析法和模糊数学方法,建立战略导向的知识管理绩效评估模型,为企业评估、跟踪和实时监测其知识管理活动提供可供参考的理论依据和实施准则。     

“Swimming Ducks Forecast the Coming of Spring”—The predictability of aggregate insider trading on future market returns in the Chinese market

This study systematically examines the ability of aggregate insider trading to predict future market returns in the Chinese A-share market. After controlling for the contrarian investment strategy, aggregate executive(large shareholder)trading conducted over the past six months can predict 66%(72.7%) of market returns twelve months in advance. Aggregate insider trading predicts future market returns very accurately and is stronger for insiders who have a greater information advantage(e.g., executives and controlling shareholders).Corporate governance also affects the predictability of insider trading. The predictability of executive trading is weakest in central state-owned companies,probably because the "quasi-official" status of the executives in those companies effectively curbs their incentives to benefit from insider trading.The predictive power of large shareholder trading in private-owned companies is higher than that in state-owned companies, probably due to their stronger profit motivation and higher involvement in business operations. This study complements the literature by examining an emerging market and investigating how the institutional context and corporate governance affect insider trading.     

基于模糊层次的可再生能源潜力评价

能源的发展带动了经济增长与社会进步.随着世界经济形势的不断发展,人类现有的生活方式发生了很大的变化.可再生能源作为一种具有可再生性、环境友好性的资源,其开发和利用是人类解决能源危机以及环境危机的重要途径.目前对可再生能源潜力的评价缺少完整有效的方法,为此,基于模糊综合评价法,建立全面完善的综合评价指标体系,对浙江省可再生能源潜力进行实证分析.