地质灾害危险性评价指标规范化方法研究

阐述了评价指标规范化处理在地质灾害危险性评价中的重要作用;针对传统线性规范化处理方法在实际应用中存在的不足,对评价指标危险等级的取值论域进行处理;基于模糊数学理论,提出直线型和曲线型2种规范化处理方法,使地质灾害危险性评价指标规范化处理更合理、更符合实际情况。实例应用结果表明,该规范化处理方法能较真实地反映地质灾害危险性等级。     

模糊层次性综合评判模型对越岭隧道开挖和支护方式的选择初探

针对影响越岭隧道开挖和支护方式的选择的诸多地质因素的不确定性，综合考虑了安全、环保等因素，运用模糊层次性理论，建立了隧道开挖与支护方案选择的多级模糊评判模型，该模型是以单因素赋值，并结合开挖与支护4种类型的评判集来评判；根据层次性递阶结构，建立权重的评判矩阵，并通过一致性检验，以验证模型的可靠性，是一种半定性、半定量的决策方法。并结合雪峰山隧道F8断层开挖与支护方法的选择，实践验证了模型可行性。     

基于模糊线性回归分析的编组站运营指标预测方法

运用模糊线性回归分析方法,建立编组站运营指标的模糊预测模型。利用该模型,对向塘西编组站中时进行了预测。在对中时影响因素分析的基础上,选取办理车数、有调中转车数、无调中转车数、折角车流量、货物列车到发列数和到发均衡程度等6个影响因素,结合车站近几年相关历史数据,确定了中时与6个影响因素之间的模糊函数关系。依据此函数关系对未来时期的中时进行了预测,预测结果表明所提出的运营指标预测方法有较好的适用性。     

Fault Diagnosing System of Steam Generator for Nuclear Power Plant Based on Fuzzy Neural Networks

All kinds of reasons are analysed in theory and a fault repository combined with local expert experiences is establishedaccording to the structure and the operation characteristic of steam generator in this paper. At the same time, Kohonen algo-rithm is used for fault diagnoses system based on fuzzy neural networks. Fuzzy arithmetic is inducted into neural networks tosolve uncertain diagnosis induced by uncertain knowledge. According to its self-association in the course of default diagnosis. thesystem is provided with non-supervise, self-organizing, self-learning, and has strong cluster ability and fast cluster velocity.     

An agent-based approach to modelling driver route choice behaviour under the influence of real-time information

This paper presents an agent-based approach to modelling individual driver behaviour under the influence of real-time traffic information. The driver behaviour models developed in this study are based on a behavioural survey of drivers which was conducted on a congested commuting corridor in Brisbane, Australia. Commuters’ responses to travel information were analysed and a number of discrete choice models were developed to determine the factors influencing drivers’ behaviour and their propensity to change route and adjust travel patterns. Based on the results obtained from the behavioural survey, the agent behaviour parameters which define driver characteristics, knowledge and preferences were identified and their values determined. A case study implementing a simple agent-based route choice decision model within a microscopic traffic simulation tool is also presented. Driver-vehicle units (DVUs) were modelled as autonomous software components that can each be assigned a set of goals to achieve and a database of knowledge comprising certain beliefs, intentions and preferences concerning the driving task. Each DVU provided route choice decision-making capabilities, based on perception of its environment, that were similar to the described intentions of the driver it represented. The case study clearly demonstrated the feasibility of the approach and the potential to develop more complex driver behavioural dynamics based on the belief–desire–intention agent architecture.     

基于顾客满意度的多目标模糊车辆优化调度问题研究

不确定信息条件下的车辆优化调度问题是当前车辆调度研究领域的一个热点问题。在对车辆优化调度问题的概念及其发展状况进行简要介绍的基础上，通过引入模糊预约时间的概念，从顾客满意度的角度研究了模糊不确定信息条件下的多目标车辆优化调度问题。     

应用模糊综合评判对接触网进行可靠性分配

研究目的:接触网是电力牵引供电设备的重要组成部分,只有对它进行可靠性优化设计,才能保证机车安全运行。研究方法:本文通过分析可靠性分配的影响因素,提出了一种基于模糊数学原理的模糊综合评判法对接触网系统可靠性分配进行最优决策,即确定影响接触网各部件可靠性水平的因素集以及因素的权重集,再根据接触网每一类部件对各个因素的隶属度作出模糊综合决策,把接触网规定的可靠性指标合理地分配给组成该系统的每个子系统,既使整个系统的可靠性得到保证又能取得很好的经济效益,并把它的算法编成了程序。研究结果:结果接触悬挂分配的可靠度最高,其次分别为支持装置、定位装置、支柱与基础。研究结论:为铁路部门对接触网系统进行可靠性优化设计提供了一种实用可行的方法,有待在设计实践中进一步完善。     

新型船舶运动控制平台及海上试验

研制出一艘以水动力学相似准则缩尺的无人驾驶遥控模型船，模型船装有PC／104为主控计算机的船舶控制器，模型船由岸上主PC机遥控，用Honeywell公司的HMR3000碰罗经测量航导，用差分GPS系统定位，自主控制和推进，该遥控篡自治船舶运动控制已经进行了两次海上试验并取得成功，本文介绍该平台的系统设计，控制系统硬件和软件和海上试验经。     

AutoLISP程序设计的若干问题

本文剖析了 AutoLISP 程序的结构特点,运行长大程序的措施和数据文件的组织等三个方面的问题.     

基于模糊时间Petri网的列车运行时间不确定性问题的处理

定义一种应用于铁路列车运行系统的模糊时间Petri网；针对列车运行时间存在的不确定性，该Petri网引入了4个模糊集理论函数：模糊时间片、模糊使能时间、模糊发生时间和模糊延迟，来处理时间的不确定性问题；能够对列车运行过程中的时间不确定性问题进行定量分析，可以有效应用于列车交会、列车终到时间、列车运行计划调整的分析等；其相对于已有的方法具有精确分析、计算简单、简化系统、便于系统集成的特点。