重庆地下空间影响因素的层次模糊评价

通过对影响重庆地下空间的地质、法律、环境、管理、环保、社会经济、安全等因素的分析,建立了评价各影响因素的指标体系;建立专家评分准则,采用层次结构,将评价因素分为两层,提出了基于AHP的重庆地下空间影响因素模糊综合评价模型,并对重庆地区4处地下空间进行综合评价;实地调研,证实该方法易行有效。     

基于模糊聚类的城市快速路交通流状态划分

针对城市快速路交通流状态分类的问题,提出了一种改进的模糊C均值(FCM)算法.结合层次聚类算法和FCM聚类算法,运用层次聚类算法得到最佳聚类数和初始聚类中心,并通过Relief F特征加权对影响交通状态的不同特征指标赋予相应的权值,最终用FCM算法再次聚类得出交通流状态的分类结果.以VISSIM为工具,对该方法进行了模拟.对比分析结果显示,所提出的方法能够提高城市快速路交通流状态分类的效果.     

长江南京以下12.5 m深水航道一期工程白茆沙河段航道整治建筑物选型

针对航道整治建筑物结构形式选择涉及复杂因素较多的问题,为降低主观、片面因素影响,使结构选型更加科 学合理,提出了模糊综合评价方法,以用于选型决策。并结合白茆沙整治工程实例,确定了影响结构选型的指标体系,通 过对比分析计算,得出了最佳结构形式,验证了该方法对于航道整治结构选型的适用性。     

基于多层次模糊评价法的航运企业人力资源绩效综合评价

全球经济危机过后,远洋船舶运力过剩,航运企业普遍亏损,在这种态势下,人才无疑是企业最宝贵的财富。由于航运业的特殊性,其人力资源主要为船员和岸基工作人员两大类,船员的工作性质与岸基工作人员有很大的差别。文中主要研究建立航运企业针对两类人员的综合绩效评价指标体系和模型,运用多层次的模糊综合评价方法,获得各个指标权重及相应的评判值。并通过对某航运公司的人力资源进行评价证明了模型的有效性,为航运企业建立科学的人力资源绩效考评机制提供帮助。     

Evaluating competitiveness using fuzzy analytic hierarchy process—A case study of Chinese airlines

With the development of a national market economy, the Chinese aviation industry is now confronted with international competition. Therefore, it is necessary to research the competitive status of Chinese national aviation, as well as advice on how to enhance the competitiveness of the Chinese aviation industry. The main objective of this paper is to propose FAHP as an effective solution for resolving the uncertainty and imprecision in the evaluation of airlines' competitiveness. In this paper, we review the research of industrial international aviation competitiveness at both home and abroad, discuss a theoretical framework for the study of aviation competitiveness, establish an index system with five first‐order indicators and 17 second‐order indicators, set up a Chinese aviation competitiveness model based on simple fuzzy numbers from the fuzzy analytic hierarchy process, and evaluate the competitiveness of five major Chinese airlines. The results showed that this model and these indicators are scientific and practical, with a wide range of application prospects for the purpose of improving and increasing Chinese airline competitiveness in the international market. The effective approach presented in this paper is especially applicable when subjective judgments on performance ratings and attribute weights are not accessible or reliable, or when suitable decision makers are not available. Copyright © 2011 John Wiley & Sons, Ltd.     

Analysis of Characteristics of the Dynamic Flow-Density Relation and its Application to Traffic Flow Models

Abstract

Online traffic flow modeling is of increasing importance due to intelligent transport systems and technologies. The flow-density relation plays an important role in traffic flow modeling and provides a basic way to illustrate traffic flow behavior under different traffic flow and traffic density conditions. Until now the research effort has focused mainly on the shape of the relation. The time series of the relation has not been identified clearly, even though the time series of the relation reflects the upstream/downstream traffic conditions and should be considered in the traffic flow modeling. In this paper, the dynamic flow-density relation is identified based on the classification of traffic states and is quantified employing fuzzy logic. The quantified dynamic flow-density relation builds the basis for online application of a macroscopic traffic flow model. The new approach to online modeling of traffic flow applying the dynamic flow-density relation alleviates parameter calibration problems stemming from the static flow-density relation.     

An adaptive neural network-fuzzy linear regression approach for improved car ownership estimation and forecasting in complex and uncertain environments: the case of Iran

This paper applies a novel adaptive approach consisting of Artificial Neural Network (ANN) and Fuzzy Linear Regression (FLR) to improve car ownership forecasting in complex, ambiguous, and uncertain environments. This integrated approach is applied to forecast car ownership in Iran from 1930 to 2007. In this study, the level of car ownership is viewed as the result of demographic, politico-social, and urban structure factors including average family size, total population density, urban population density, urbanization rate, gross national product per capita, gasoline price, and total road length. To capture the potential complexity, uncertainty, and linearity relation between the car ownership function and its determinants, ANN and FLR (including eight well-known FLR) approaches are applied to the collected data. Next, the preferred ANN is selected based on sensitivity analysis results for the test data while the preferred FLR is identified with regard to ANOVA and MAPE results. The results obtained from the performance comparison demonstrate the considerable superiority of the preferred ANN over the preferred FLR regarding the nonlinear and complex nature of the car ownership function in Iran. This is the first study that presents an ANN-FLR approach for car ownership forecasting capable of handling complexity and non-linearity, uncertainty, pre-processing, and post-processing.     

双车道公路弯道驾驶轨迹跟踪模型

针对双车道公路弯道轨迹跟踪行为的瞬时多变性,及驾驶人模糊感知与主观决策能力导致的不确定性,通过分析驾驶人在前方弯道线形影响下的驾驶特性,引入转向驾驶行为控制因素,运用多目标模糊优选决策理论,研究了模糊性和主观性对轨迹跟踪行为的影响规律;基于灰色理论,利用主观与客观相结合的权重确定方法,建立了轨迹跟踪模型.选择5处曲线路段进行实地试验,通过试验结果与仿真结果的对比,验证了本文模型的有效性.研究结果表明:行驶轨迹弧长、横向力系数和轨迹侧向偏移是轨迹跟踪行为的控制因素;综合考虑主观与客观因素的权重确定方法,体现了驾驶人在模糊优选决策轨迹跟踪行为中的主观特性.      

冶金企业内部铁路网络区域划分研究

针对冶金企业内部的铁路线路呈网状分布的特点,提出一种基于共邻点矩阵与复合度函数、综合考虑划分子区域所需列车控制防护能力的线路网区域划分方法,并应用该划分方法对某钢厂企业的铁路线路网进行了区域划分,该划分结果有效地指导了区域控制系统控制范围的设计与规划。     

基于旅客满意度评价的铁路客运产品设计调整

本文提出一种基于旅客满意度综合评价的铁路客运产品设计与调整方法,分析旅客满意度与产品设计要素之间的关联关系,建立铁路旅客满意度的评价指标,采用模糊综合评价方法计算旅客满意度,并将满意度评价结果反馈到产品的设计和调整过程中.本文最后以武广高铁为例进行了满意度调查和综合评价,在满意度分析的基础上对武广高铁客运产品的调整提出了建议.