宝钢冷轧过程故障诊断模糊专家系统

本设计了并实施了一个用于冷轧过程的故障诊断的实时专家系统。通过模糊理论和专家系统相结合解决了诊断中的不确定性问题。     

专家系统中不确定性知识的表示和处理

知识表示和处理是专家系统的基本问题，不确定性知识的表示和处理一直是专家系统研究的热点。本文在阐述不确定性知识概念的基础上，简单介绍传统的不确定知识表示和处理方法，重点讨论近年来出现的新的不确定知识表示和处理方法。     

模糊不确定性模型库在通用专家系统开发工具中的构造

本文论述一个支持模糊不确定性知识处理的通用专家系统开发工具FGEST-Ⅱ的构造,它是在作者原已设计实现的通用专家系统开发工具GEST-1的基础上,扩充一个适合模糊不确定性处理的模型库。其核心是一个模糊产生式系统。文章着重叙述了模糊产生式系统的组成,各种模糊度量的计算以及工作原理。     

专家系统中基于粗集的知识获取、更新与推理

知识获取、知识更新和不确定性推理是设计专家系统的重要方面。根据粗集理论，提出了一种专家系统的结构模型，该系统在规则获取的基础上，利用系统运行的实例增量式地更新知识库中的规则及其参数，以改善系统的性能，利用知识库中的规则及数量参数进行不确定性推理，得出结论的可信度。     

基于知识的航电设备故障诊断专家系统

为了解决航电设备故障难以诊断的问题,设计一个基于知识的航电设备故障诊断专家系统。该系统中的知识表示形式及与之相配合的基于确定性理论模型的不确定性推理方法,以及基于示例的推理方法可以实现航电设备的故障推理和诊断,其规则的可信度可达到理想的程度。     

基于模糊神经网络的专家系统及应用

专家系统前景广阔，但其进一步发展必须引入其他先进技术，神经网络和模糊系统是解决知识获和经验性知识的不确定性等传统专家系统的“瓶颈”问题的全新途径。     

图象分析专家系统中的不精确推理

处理图象分析中的不确定性也是专家系统不可回避的任务.目前有多种用以表示不确定性,并能进行不精确推理的模型,主要有概率理论、证据理论和可能性理论;同时不精确推理的非数值方法也引起了人们的极大关注,如非单调逻辑.本文探讨了这些推理理论在一些具体图象分析问题中的应用途径.     

基于模糊推理的专家系统设计与实现

用计算机模拟人类不确定性推理的思维过程具有极其重要的理论和实际应用的意义。本文基于模糊推理理论,采用模糊知识表示方法和模糊推理的技术,介绍了一个以法医人体骨骼人识别问题为背景的专家系统的实现方法。     

专家系统开发环境

专家系统开发环境是开发专家系统过程中的一个重要问题。本文分析了专家系统开发过程中硬件环境、软件环境的现状和特点,深入讨论了专家系统外壳的结构、特点及选用方法,并针对化工专家系统的开发环境进行了分析和探讨。     

第二代专家系统

第二代专家系统能把基于规则的启发式推理和基于问题领域模型的深层推理结合起来。它解决了现有专家系统中的许多重要问题,尤其是知识获取问题:第二代专家系统能通过检查深层推理的结果来学习新的规则。本文概述了第二代专家系统的结构并给出了一个例子。     

基于MVC模式的桥梁处治专家系统研究

专家系统(Expert system简称ES)是模拟人类专家解决问题的智能程序系统。专家系统的主要特征是有一个巨大的知识库,存储着某个专门领域的知识。在解决问题时,用户为系统提供一些已知数据,然后从系统中获得专家水平的结论[1-2]。目前专家系统已经应用到生活中的各个方面,本文着重研究了专家系统在在役桥梁中的应用,并且给出了模型建立方法、系统设计以及专家系统软件的设计流程[3]。最后将该系统应用到具体的实例中,实验证明在役桥梁专家决策系统具有良好的效果[4]。     

Expert system problem selection: A domain characteristics approach

The first generation of commercial expert systems based on AI technology are now available in the market place. But in the available literature, one can find hardly any material on expert system problem selection. In this paper a number of popular and successful expert systems are analyzed. Domain-dependent and domain-independent problem characteristics have been identified, based on the analysis. To test our contention that these characteristics significantly contribute to the success of expert systems, a questionnaire survey involving a number of expert system developers was conducted. Based on this, a domain characteristic approach for expert system problem selection is presented.     

Multi-domain expert systems

Abstract: The current trend in expert system building is domain-specific, i.e. there is one expert system for each problem domain. The increased involvement of computers in the decision-making process will inevitably lead to increased demand for expert systems. Based on the current approach to expert systems building, there will be a further proliferation of domain-specific expert systems. This is because each application area produces an expert system tailored to its requirements. This manner of producing expert systems is inadequate and an increased expectation in the performance of expert systems will eventually call for a new approach to constructing them. This paper examines the growth in the use of expert systems, looks into the limitations and problems associated with present-day domain-specific expert systems and suggests a multi-domain expert system architecture as a solution to the problem of increasingly disjointed domain-specific expert systems resulting from uncontrolled proliferation.     

数据库支持的材料选择模糊专家系统的研究

简要介绍模糊专家系统的基本概念,提出ＤＢＭＳ支持的模糊专家系统的体系结构的以及要解决的相关问题,最后对工程应用中的材料选择问题,说明数据库管理系统支持的材料选择模型专家系统的实现。     

An expert system for the selection of software design patterns

Abstract: This paper describes the development of a prototype expert system for the selection of design patterns that are used in object-oriented software. Design patterns provide one method of software reuse, which supports the goal of improved software development productivity. The prototype system represents an initial step towards providing an automated solution regarding the design pattern application problem, i.e. leading a designer to a suitable design pattern which is applicable to the problem at hand. The feasibility of using expert system technology to aid in the selection problem is demonstrated.     

一种基于规则的双层四边通道布线专家系统原型

四边通道布线问题(switchbox routing problem)是VLSI布图设计(layout)中的一个关键问题。从计算的观点看,它是一个NP-hard问题。因此,基于知识的方法是解决这一问题的有效方法。 本文中,提出了一种以PROLOG为核心的基于规则的双层四边通道布线专家系统的原型(prototype)。它能把人类布线专家的规划、推理能力及布线经验同计算机的高速数据处理能力有机地结合起来,从而取得较高的布线效率和布通率。     

某型飞机导弹发射通道故障诊断专家系统设计

针对某型飞机导弹发射通道故障定位周期长和排除效率低的问题,综合应用故障树分析法和专家系统分析法,设计并开发了某型飞机导弹发射通道故障诊断专家系统;该系统按照故障树结构建立故障知识库,采用基于规则推理(Rule-Based Reasoning,简称RBR)的推理策略进行故障原因的推理与诊断;通过外场和内场使用表明,该系统提高了导弹发射通道的故障诊断效率,减轻了部队维护人员的排故强度。     

The explanation facility and the explanation effect

The ability to explain reasoning processes used for problem solving distinguishes the expert system from other decision support systems. The explanation facility is intended to help the user critically analyze the expert system output. Studies investigating the explanation effect, however, report that the act of explaining an event's occurrence increases the perceived likelihood of the event. The consideration of expert system explanations, therefore, may lead to greater agreement with the system's output rather than the intended critical review of the output. This research examines the explanation effect resulting from the consideration of expert system explanations. The differential impact of considering expert system explanations is compared to the effect of generating written explanations. In addition, the differential impact of positive versus negative explanations is investigated. A hypothetical audit case was administered to 41 practicing auditors. An explanation effect was observed when the expert system explanation was negative. An explanation effect was not observed when the expert system explanation was positive. An explanation effect was not observed for either positive or negative self-generated explanations. Therefore, the most influential explanations were those which were expert system generated and negative or conservative in direction.     

基于知识的多专家决策支持系统

由于决策支持系统（ＤＳＳ）和专家系统（ＥＳ）的不同行为特征,使它们在信息处理中的决策和问题求解方面不能相互兼顾。本文交讨论和ＥＳ结合的可行性,提出一种基于知识的多专家决策支持系统的结构模式,及实现多专家协同求解和决策的方法。     

面向问题分析与决策的专家系统

专家系统的根本目标在于为实际应用问题提供强有力的分析与决策能力。以人类通过长期实践活动总结的复杂问题分析与决策方法为指导思想,建立了以问题对象为核心、相关对象为问题主体、问题现象为表现形式、因果关系为问题变化驱动力、过程知识和原理知识为参考对象的面向问题分析与决策的专家系统。这种专家系统围绕应用领域中的问题构建知识库,而不是使用规则,所以得到的知识系统比较合理、清晰,不容易产生知识矛盾与冲突,有利于大型知识库的构建;同时,采用基于问题的推理,与人类的思维习惯相符合,可以大大提高推理效率;此外,开发这种专家