基于模糊理论的路基边坡优化设计

根据相关规范在边坡普通模型基础上建立了边坡实用模糊优化模型，给出了求解该模糊优化模型的计算方法。结合具体工程实例显示了该模型和方法的优化效果，结果显示，基于模糊理论的优化方案更为优秀、合理。     

桥式起重机箱型主梁的模糊优化设计

运用模糊优化理论，提出了桥式起重机箱型主梁的模糊优化设计方法．按照重量最轻的原则．建立了桥式起重机箱型主梁的模糊优化数学模型，给出了箱型主梁模糊优化的计算实例．     

行星传动的模糊优化设计

介绍了行星传动的模糊优化设计方法．在兼顾影响行星传动各模糊因素的情况下，建立了以最小体积为目标的模糊优化数学模型，给出了求解此模型的方法．实例计算表明，用模糊优化方法设计行星传动可收到较好的效果．     

多目标模糊优化新方法及其在装载机变速器设计上的应用

本介绍了一种新的多目标模糊优化方法，建立了变速器的多目标模糊优化数学模型，并编制了相应的优化设计程序及实例计算。     

工程机械轮边减速器的模糊优化设计

在充分考虑影响轮边减速器设计的各模糊因素情况下，本建立了轮工工程机械轮边减速器的模糊优化数学模型，给出了求解此模型的方法，并上机实例进行了轮式工程机械轮边减速器的模糊优化设计，及强度校核。     

系统可靠度的模糊优化分配

我针对系统可靠性优化中约束条件及目标函数往往具有模糊性的实际情况，本文应用模糊现划理论，提出了系统可靠度的模糊优化分配方法。     

轮式工程机械驱动桥主传动器的模糊优化设计

本文运用模糊优化理论，在较全面地考虑影响驱动桥主传器各模糊因素的情况下，建立了轮式工程机械驱动桥主传动器模糊优化设计的数学模型，并介绍了轮式工程机械驱动桥的模糊优化设计方法。     

住宅建设项目投资风险的模糊分析

根据住宅建设中的诸多风险因素，建立了基于互补性优先关系方法的住宅建筑项目投资风险的多级模糊优化决策模型，从而降低了确定优属度和权重的主观性因素。同时采用二级模糊优化决策方法，针对具体住宅建设项目的投资风险进行了分析与测评。     

起升机构的模糊可靠性优化设计

在普通优化设计的基础上，依据２统计理论和模糊原理，由可靠性设计准则，对起升机构常用的行星齿轮减束装置进行模糊可靠性优化设计，充分了影响行星齿轮传动的种种模糊因素，使优化符合实际。     

模糊网络计划中模糊工期成本优化方法的研究

针对模糊网络计划的发展,提出了在模糊网络图中模糊工期成本优化的方法,指出应利用遗传算法进行优化,以解决工程中不确定因素的问题,且优化结果更精确。     

模糊控制技术在集中空调监控系统中的应用研究

设计了模糊控制系统结构和模糊推理机,建立了模糊控制规则库和模糊逻辑控制表,进行了模糊控制输出量的解模糊。研究结果表明,集中空调温度模糊控制系统比传统的控制系统具有更好的稳定性和节能效果。     

岩体结构面产状的综合模糊聚类分析

在岩体的力学和水力学分析中,岩体结构面产状的分析是极为重要的基础工作。传统的结构面产状图形分析较粗糙,因此模糊聚类方法得到了一定的应用。分析了模糊等价聚类方法和模糊软划分聚类方法在岩体结构面产状分析中的优缺点,并将上述2种方法结合起来形成岩体结构面产状的综合模糊聚类分析方法,给出具体的计算方法和过程。实例分析表明,结构面产状综合模糊聚类分析方法对结构面产状的分类合理,结果可靠,可根据实际问题灵活运用。     

模糊信符集上的通信系统及信息量

讨论了模糊划分上Ｓｈａｎｎｏｎ信息论的基本问题。定义了模糊信符、模糊信源、模糊信道及模糊信宿。得出了模式互信息、模式信息及模糊信道容量；并简要讨论了对编码的影响。     

An Integrated Fuzzy Control System for Structural Vibration

Abstract:   Recently, numerous studies of structural control systems of civil structures and infrastructure have been carried out. To develop structural control systems, it is necessary to consider their special features such as complexity, uncertainty, and size. To consider these features, fuzzy theory has been applied to structural control systems. This study proposes an integrated fuzzy active control system based on fuzzy ensemble learning. It combines several fuzzy active control systems and improves structural vibrations caused by earthquakes. The proposed method includes two fuzzy active control systems, a fuzzy ensemble system, and a gating network. In this study, two fuzzy active control systems are constructed by applying particle–swarm optimization. The fuzzy ensemble system assigns a performance grade to each fuzzy active control system according to control effects from input patterns. The gating network determines the final control force based on the weight of their performance grade. By introducing fuzzy ensemble learning, the structural response is reduced more than when the response is controlled by individual fuzzy active control systems.     

Artificial Neural Networks for Forecasting of Fuzzy Time Series

Abstract: In this article, an artificial neural network for modeling and forecasting of fuzzy time series is presented. Modeling fuzzy time series with fuzzy data as random realizations of an underlying fuzzy random process enables forecasting of future fuzzy data following the observed time series. Analysis and forecasting of time series with fuzzy data may be carried out with the aid of artificial neural networks. A significant advantage is the fact that neural networks do not require a predetermined process model to simulate and forecast time series possessing fuzzy random characteristics. Artificial neural networks have the ability to learn the characteristics of an existing fuzzy time series, to represent the underlying fuzzy random process, and to forecast future fuzzy data following the time series observed. The algorithms developed are demonstrated using a numerical example.     

Variance‐based global sensitivity analysis for fuzzy random structural systems

There have been increasing advances in the sophisticated approaches like fuzzy randomness to handle different uncertainties in civil engineering; however, less attention has been paid to the formulation of a sensitivity analysis for fuzzy random structural systems. In this study, the main objective is to present the formulation of fuzzy Sobol sensitivity indices to quantify the influence of fuzzy random structural parameters. Meanwhile, uncertainty in derivation of limit states and acceptance criteria in collapse analysis is addressed briefly and treated using fuzzy model parameters. To show the application of the established sensitivity test, the collapse behavior of a steel moment frame subjected to sudden column removal is evaluated thoroughly. The proposed fuzzy sensitivity indices are determined for the problem and the overall influence of fuzzy acceptance criteria on the collapse assessment is shown using fragility analysis. The results show that the presented fuzzy sensitivity analysis can give detailed insight into the characteristics of fuzzy random systems, and the epistemic uncertainty in derivation of limit states can have significant effects on the reliability‐based collapse analysis. It is worth mentioning that to alleviate high computational demands in fuzzy probabilistic collapse analysis, a neural network metamodel is applied in conjunction with the genetic algorithm which is also of practical value to engineers and researchers.     

DETERMINATION OF FUZZY RELATIONSHIP BY FUZZY REGRESSION

This paper presents a new approach and procedure for performing fuzzy regression based on JHE method, a method for processing fuzzy information based on the Monte Carlo simulation technique. The new procedure is tested by applying it to determining fuzzy relationships between fuzzy variables. Methods for interpreting results of fuzzy regression are presented and discussed. Examples are presented to demonstrate this new procedure. Potential applications of this fuzzy regression procedure are discussed.     

高层建筑结构舒适度的模糊可靠性分析及设计

根据模糊集和截集的概念，将模糊可靠性设计问题转化为常规可靠性设计问题。利用此观点对高层建筑结构的舒适度进行了模糊可靠性分析及设计研究。     

基桩桩端岩溶顶板稳定性模糊能度 可靠性分析方法

 基于岩溶区基桩桩端岩溶顶板稳定性影响因素取值的随机性、模糊性以及区间性特征,首先,采用三角模糊数表示计算参数取值可能性分布,以此为基础建立出同时考虑抗冲切、抗剪与抗弯作用的桩端岩溶顶板稳定性模糊极限平衡分析模型;其次,综合运用模糊数学理论、岩体质量分类指标RMR以及Hoek-Brown经验强度准则建立计算参数三角模糊数确定方法,并运用截集技术与区间数运算规则计算相应的安全系数模糊集;再次,在探讨功能函数之合理确定方法基础上,采用模糊能度可靠性理论,提出基桩桩端岩溶顶板稳定性模糊能度可靠性分析方法;最后,通过工程实例分析表明该方法的合理性与可行性,其为基桩桩端岩溶顶板稳定性分析与评价提供了一种新的不确定性分析方法。     

Comparison of the performance of fuzzy controllers for the management of the indoor environment

Fuzzy logic control applied in Indoor Environment Management Systems provides a significant advantage in terms of energy conservation and users’ indoor comfort requirements satisfaction compared with the classical control systems. The aim of the present paper is to compare the performance of five fuzzy controllers (fuzzy P, fuzzy PID, fuzzy PI, fuzzy PD and adaptive fuzzy PD) developed in the framework of the BUILTECH (JOE3-CT97-0044) project which is in part funded by the European Commission JOULE Programme. The performance criteria are the response performance and the energy consumption.