Practical implementation of possibilistic probability mass functions

 Probability assessments of events are often linguistic in nature. We model them by means of possibilistic probabilities (a version of Zadeh's fuzzy probabilities with a behavioural interpretation) with a suitable shape for practical implementation (on a computer). Employing the tools of interval analysis and the theory of imprecise probabilities we argue that the verification of coherence for these possibilistic probabilities, the corrections of non-coherent to coherent possibilistic probabilities and their extension to other events and gambles can be performed by finite and exact algorithms. The model can furthermore be transformed into an imprecise first-order model, useful for decision making and statistical inference.     

一种自适应模糊串级控制仿真

模糊控制的基本思想就是利用计算机来实现人的定性控制经验。该文考虑了参数变化和干扰的情况 ,并与传统的方法作了比较 ,证明使用模糊串级系统具有良好的阶跃响应品质 ,并具有较好的自适应效果。     

直流PWM伺服系统的一种新型控制器

文章设计了一种新型的直流PWM自适应变结构控制器，并且采用了非线性反馈技术，理论分析与实验表明该系统获得良好的快速性、准确性和鲁棒性。     

基于随机有限元的梁单元反应变异性分析

针对工程中由于不确定因素的影响而导致的结构反应的变异,利用随机有限元推导了在多个随机变量作用下梁单元结构反应变异的公式,以镗刀杆工作的位移变异为例,详细地介绍了其计算过程,并将其与解析法和Monte-Carlo法进行了对比,分析了各自的适用范围,为不确定性结构的可靠性分析奠定了基础。     

The uses of fuzzy logic in autonomous robot navigation

 The development of techniques for autonomous navigation in real-world environments constitutes one of the major trends in the current research on robotics. An important problem in autonomous navigation is the need to cope with the large amount of uncertainty that is inherent of natural environments. Fuzzy logic has features that make it an adequate tool to address this problem. In this paper, we review some of the possible uses of fuzzy logic in the field of autonomous navigation. We focus on four issues: how to design robust behavior-producing modules; how to coordinate the activity of several such modules; how to use data from the sensors; and how to integrate high-level reasoning and low-level execution. For each issue, we review some of the proposals in the literature, and discuss the pros and cons of fuzzy logic solutions. Received: 31 March 1997 / Accepted: 24 September 1997     

复杂系统的广义预测模糊控制

针对多变量复杂系统提出一种基于广义预测与模糊控制相集成的控制策略。控制器具有多层结构与智能控制特点，不仅计算量小、实时性强，而且具有良好的“解耦”和动态跟踪性能，明显地提高了该类系统的闭环控制效果。     

泥沙随机起动的简化模式

泥沙的起动既有随机性，又有模糊性，据此作者将模糊数学方法引入泥沙起动研究。建立了直接反映泥沙随机起动特性的起动流速计算模式，该模式得到了实测资料的检验。这一模式可以体现泥沙起动的随机性，较好地反映了泥沙起动的本来面目     

二维小波变换理论在地震信号去噪中的应用

针对地震信号随机干扰和规则干扰的特点，运用二维小波变换的理论，设计了相应的变换域去噪滤波器。理论记录和实际野外记录试算表明，二维小波变换具有较强的信噪分离作用。只要运用得当就能取得满意的效果。     

Colour classification by neural networks in graphic arts

This paper presents a hierarchical modular neural network for colour classification in graphic arts, capable of distinguishing among very similar colour classes. The network performs analysis in a rough to fine fashion, and is able to achieve a high average classification speed and a low classification error. In the rough stage of the analysis, clusters of highly overlapping colour classes are detected. Discrimination between such colour classes is performed in the next stage by using additional colour information from the surroundings of the pixel being classified. Committees of networks make decisions in the next stage. Outputs of members of the committees are adaptively fused through the BADD defuzzification strategy or the discrete Choquet fuzzy integral. The structure of the network is automatically established during the training process. Experimental investigations show the capability of the network to distinguish among very similar colour classes that can occur in multicoloured printed pictures. The classification accuracy obtained is sufficient for the network to be used for inspecting the quality of multicoloured prints.     

遥感图像的模糊边缘检测技术

本文结合遥感图像的实际背景，给出了可用于操作实施的模糊边缘检测数学模型和算法。