序偏好条件下多准则问题的分析方法

本文主要探讨了弱序准则结构及强序准则结构条件下的多准则问题，建立了在两种序准则结构条件下方案评价的正流、负流评价模型，给出了该模型的求解方法，并用例子说明了该模型的应用过程。     

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对城市停车设施规划中的多属性决策问题，运用了基于UEOWA和ULHA算子的一些基本理论，将一些难以量化的模糊指标等运用语言数据来进行表达。确定了其评价指标，然后建立了基于UEOWA和ULHA算子的不确定语言多属性决策方法，可根据此方法的实际决策结果来确定停车设施规划的最优方案。最后通过一个简单的算例来证明该模型可行。     

区间DEA的鲁棒稳定性分析

用这种方法，首先求解区间DEA模型中DMU的最高效率值和最低效率值，从而确定DMU的区间效率值，并依此对DMU进行分类。然后，建立一个后区间DEA模型，根据该模型的最优解定义DMU能保持其最高效率值的稳定性的指标，并依据该指标进行区间DEA的鲁棒稳定性分析，为了说明这种方法的应用，给出一个算例。     

基于"互联网+"的城市轨道交通乘客智能服务模式探讨

随着"互联网+"通信技术和产品的不断更迭,广大人民群众获取资讯的方式和习惯也悄然改变,手机App、微信等孕育而生,服务不再受时间和空间的限制,而城市轨道交通与乘客的沟通窗口仍停留在实体客服中心(票亭),势必无法跟上当今社会高效的节奏。首次提出基于"互联网+"的城市轨道交通乘客智能服务模式,搭建全维度的综合智能客服平台,通过线上地铁APP、微信公众号等在线客服,将畅通沟通服务融入市民生活;通过车站线下乘客自助终端、智能客服中心等自助设备,车站现场逐步向"无人化"值守转变,形成"一站式"快捷资讯服务;同时设置快速客服响应体制,通知就近的现场工作人员"响应式"精准专项服务,同时辅以服务质量监控系统。提出乘客智能服务新模式,适应人民群众新需求和社会技术发展,将传统以现场人工为主的模式向线上集中智能服务模式转变,节约车站运营人力,降低运营成本。新的客服模式已在2019年10月广州智慧地铁示范工程中作为重点成果进行展示,系统运营至今效果显著,为广州地铁"十三五"新线建设及既有线网大规模改造推广积累宝贵的运营经验,也为国内其他城市乘客服务新思路的应用提供参考。     

论新铁路工程费用定额的变革

新一轮铁路工程费用定额的代表《铁路基本建设工程设计概（预）算编制办法》已经正式发布实施，它将成为今后一定时期内铁路工程设计概（预）算编制的依据。此文重点论述了新《铁路基本建设工程设计概（预）算编制办法》较原概算编制办法的一些主要变革及其特点，希望能对大家更好地使用该费用定额起到引路的作用。     

考虑决策过程与潜在异质性的居民通勤选择行为研究

传统研究对居民通勤决策过程的动态性及微观心理偏好关注不足，为此利用潜在类别模型表征居民通勤决策的潜在异质性，从动态决策角度出发，构建可以体现偏好动态演进过程的决策场理论模型。该模型对不同潜在类别设置差异化的属性注意力权重，表征不同子市场用户动态偏好的差异性和相同子市场用户偏好似而不同的特征，同时实现用户分类和动态决策过程分析，改进传统决策场理论对个体偏好异质性表征不足的缺陷。对成都市轨道交通车站附近居民进行实证研究，结果表明，通勤居民可以细分为“商务需求型”“追求效率型”“经济环保型”“保守型”这4类，各类别间的备选方案初始偏好、属性关注程度均呈现显著差异。通过Matlab仿真实现对个体决策结果、微观偏好进化过程及非理性效应的预测和分析，验证了本文方法的有效性。     

基于灰色关联的登陆地域选择

登陆地域的选择是登陆作战中一项具有决定登陆成败的关键性工作之一。为了对备选的登陆地域方案进行评估，从分析影响登陆地域选择中的主要因素着手，将其归结为多目标决策中的方案排序问题，用灰色关联分析法建立了登陆地域方案选择的评估模型，从定性、定量的角度对登陆地域选择中的影响因素进行了判断，弥补了指挥员主观判断上的某些缺陷，具有一定的现实意义。     

Consensus Building in Oil Spill Response Planning Using a Fuzzy Comprehensive Evaluation

Major accidental oil spills still affect ecologically and economically sensitive marine areas and shorelines, even though environmental programs and policies have led to an increase of ship safety measures. The aim of decision making during oil spill response management is to minimize pollution effects on coastal areas, once spills occur. However, limited equipments or options prevent such a globally satisfying combat strategy. Thus, often preferences between different coastal areas or uses, respectively, have to be made in an operational way. Such a management issue is here taken as a multigroup multicriteria decision-making problem involving a variety of stakeholders and natural dynamic environments. For solving such a complex problem, this article proposes a second order fuzzy comprehensive evaluation (FCE) model, which takes the influence of multiple criteria and the knowledge of different interested groups into account and further provides a basis for simulating a voting-based decision process. With the combination of oil fate simulations and FCE technique, managers are able to realize an integrated management for oil spill. Through a case study of the Prestige accident off the Spanish coast in 2002, it is demonstrated that the model provides a simple, effective and adaptable method to solve operational management problems related to complex human nature interactions as realized during oil spill management. Moreover, a series of analyses and comparisons are focused on to explore potentials and limitations of the FCE for further applications in the field of multigroup multicriteria decision making.     

智慧港口的内涵及系统结构

智慧港口充分体现了现代管理方法、信息采集和处理技术、决策支持理论在港口运作和管理中的应用,表现为实施港口功能创新、技术创新和服务创新等.基于物联网等智慧技术,分析了智慧港口的内涵和功能,研究了智慧港口的系统结构.提出以智慧港口数据平台为核心,包括集疏运体系、靠离泊体系、码头装卸作业体系、堆场仓储作业体系、港口口岸监管服务体系等内容的智慧港口系统结构,并对各组成部分的主要功能进行了研究.     

Design and development of a stated choice experiment for interdependent agents: accounting for interactions between buyers and sellers of urban freight services

Stated choice experiments have proven to be a powerful tool in eliciting preferences across a broad range of choice settings. This paper outlines the elements of a group-based experiment designed for interdependent urban freight stakeholders, along with the procedure to administer the questionnaire sequentially. The focus is on the design of a computer-assisted personal survey instrument and the value in disseminating the details of a new approach to design and collect stated choice data for interacting agents. The paper also discusses how to specify a reference alternative, and then how to recruit appropriate real-market or representative decision-making group members to participate in a subsequent phase of the survey, which incorporates the reference alternative and contextual information from an initial phase. The empirical strategy, set out in some detail, provides a new framework within which to understand more fully the role that specific attributes, such as variable user charges, influencing freight distribution chains might play, and who in the supply chain is affected by specific attributes in terms of willingness to pay for the gains in distribution efficiency.