攀钢1号高炉专家系统的应用及存在的问题探讨

系统地介绍了攀钢1号高炉专家系统的特点、结构以及功能，阐述了专家系统的数学模型、冶金规则及冶金诊断，同时对系统应用中存在的问题进行了分析，并探讨了解决方法。通过实际数据对比分析发现，VAI高炉专家系统对于保证高炉生产的安全、稳定和顺行具有重要的作用。     

武钢研发炼焦配煤专家系统

近日，武钢召开炼焦配煤专家系统研讨会，来自全国各大专院校的10余名煤焦专业知名专家和武钢有关负责人、技术专家共同研讨，为实施开发炼焦配煤专家系统提供建设性的意见和建议。     

似然推理与神经元网络系统简介

简略介绍了专家系统中模糊模型的推理结构和神经元网络系统的模式，说明专家系统软件部分实质上是用一系推理谗句构成的模型，而神经元网络系统所以具有智能，完全是由于不同神经元对不同输入有不同的响应敏感所致。     

磨矿回路专家指导控制的总体控制方案设计

笔者以凡口铅锌矿磨矿分级作业为研究对象，引入专家系统及现代控制理论等技术，开发了磨矿分级过程控制专家指导系统。本文重点介绍了系统总体控制方案的设计，包括控制方法、控制策略以及自适应预报系统的设计。     

武钢研发炼焦配煤专家系统

近日，武钢召开炼焦配煤专家系统研讨会，来自全国各大专院校的10余名煤焦专业知名专家和武钢有关负责人、技术专家共同研讨，为实施开发炼焦配煤专家系统提供建设性的意见和建议。     

采掘接替计划专家系统的知识与推理

计算机编制采掘接替计划的专家系统，是在运筹学的网络、计算机模拟和专家系统的方法基础上开发的。较详细地介绍了该专家系统的技术规则，讨论了方案的状态空间及搜索策略。     

不锈钢焊接性及焊接工艺查询专家系统

不锈钢牌号众多，许多专业技术人员对其焊接性和焊接工艺不熟悉。为了充分利用现有的专家知识经验辅助技术人员解决焊接过程中遇到的问题，以Access数据库作为知识库，利用Microsoft Visual Basic软件开发了界而友好的不锈钢焊接性及焊接工艺查询专家系统。介绍了本系统的构成及功能，以及实现方法。该系统同时有助于推进制造技术的信息化。     

网络化设备点检与故障诊断系统在济钢的应用前景

分析了设备远程监控与故障诊断的结构及工作模式,介绍了一种基于Internet的设备状态点检与故障诊断系统,该系统利用现代计算机网络、通讯及自动控制等多项技术,将现场数据采集与处理实时监控与决策等环节有机的结合,并利用专家系统中的知识库和远程诊断专家对设备故障做出诊断,提高设备故障诊断的可靠性和智能化水平,实现点检、监测、控制与诊断的一体化。     

烧结配料优化控制专家系统

烧结配料优化专家系统为协同式专家系统。该系统采用先进的专家关系型数据库，通过神经网络及机器学习等技术对烧结配料进行专家优化控制，特别适合我国烧结行业原料多而杂，成分波动大的特殊配料工况。     

专家系统在炼钢生产中的应用

专家系统是一种智能化的计算机程序，是运用知识和推理步骤来解决只有专家才能解决的问题，本文简略地解说专家系统的一些特点及其在炼钢生产应用中的几个实例，如ＬＤ转炉过程控制；连铸结晶器液面控制，连铸过程中产品缺陷的预测；生产过程中的产品质量控制，以及在除尘车间的应用等，并对应用专家系统的效益进行了讨论。     

设备状态监测及故障诊断专家系统

介绍了设备运行监测及故障诊断专家系统的系统功能特点及系统的构成。系统采用工控计算机,数据采集卡,组态软件组成;故障诊断专家系统具有知识获取存储能力,诊断过程解释功能。系统实现了设备的实时监测,提高了故障分析能力。     

建设项目(工程)安全预评价专家系统

专家系统已广泛地应用于各个领域，大大地提高了工作效率和工作质量。文中基于专家系统原理，建立了具有大量专业知识与经验并应用人工智能技术进行推理和判断的安全预评价专家系统，该系统与领域专家的决策过程一致，能科学地获得所需的最优评价方法。     

Medical expert systems]

Expert systems are software systems that can successfully compare to human experts. Their purpose is mostly advisory. Besides, they give explanation and advice to human experts when performing certain tasks. They are intelligent information systems, and are capable to explain and justify their conclusions. Knowledge systems are smaller software systems, and are usually less successful than human experts. Main reasons for expert systems development in medicine are: need for justification of decisions, need for enhancing performances in many uncertain relations; need for explaining of decision making process etc. One of the reasons of developing knowledge-based systems was that conventional statistic formalisms have not provided satisfactory solutions in medical decision making (MDM). Also, today, the relations between cases and conclusions are not universally valid. So, few causes can provide the same conclusion. Besides, data are not necessarily absolutely accurate. The area of applying expert systems is very wide: diagnosis, prognosis, self-education, directing etc. Basic structure of expert system consists of: knowledge, data base, inferring mechanism, explaining mechanism and user-interface. Though, expert systems also have certain bad features: primarily, they are not physicians i.e. they can not examine a patient. Furthermore, expert system that is good for one certain area is often not good for another one. There are some cases, when these systems can confuse a physician and make him to make a wrong decision. This occurs very often in two specific cases: when the clinical situation is urgent; and when accuracy of clinical information is not definite.     

Fuzzy Similarity Consensus Model for Early Alignment of Construction Project Teams on the Extent of Their Roles and Responsibilities

A fuzzy similarity consensus (FSC) model is presented for alignment of construction project owner and contractor project teams to their roles and responsibilities, identifying and reducing fundamental problems of conflicts, duplication, and gaps in roles and responsibilities as early as the project initiation stage. The model achieves its objective by incorporating consensus and quality of construction project teams in aggregating their opinions to decide on the party responsible for every standard task of a construction project. The roles and responsibilities of the owner and contractors are described to different extents using seven linguistic terms defined by triangular membership functions and constructed using a three-step Delphi approach, which allows experts to develop common understanding of the meaning of the terms by determining their overlap on a fuzzy linguistic scale. A modified similarity aggregation method (SAM) aggregates experts’ opinions in a linguistic framework using a consensus weight factor for each expert that is based on the similarity of his or her opinion relative to the other experts to ensure that the experts’ final decision is a result of common agreement. A fuzzy expert system (FES) determines an importance weight factor, representing expert quality for each expert; opinions are aggregated using this factor and the consensus weight factor. The FSC model contributes to the construction industry by solving a fundamental problem for project owners who want to identify and reduce potential conflicts between their project teams on the extent of their roles and responsibilities prior to the construction stage. Also, the FSC model provides an improvement over previous consensus-based approaches, which rely on a subjective assessment of experts’ important weights in aggregating their opinions, and it modifies the SAM to adapt it to a linguistic environment.     

Fuzzy Preference Relations Consensus Approach to Reduce Conflicts on Shared Responsibilities in the Owner Managing Contractor Delivery System

This paper proposes a fuzzy preference relations consensus (FPRC) approach that helps owners and contractors reach consensus on their responsibilities and reduce conflicts in shared tasks. A fuzzy similarity consensus (FSC) model was developed to aggregate experts’ opinions on roles and responsibilities in the owner managing contractor (OMC) project delivery system. The FSC model categorized 324 generic OMC tasks into three responsibility task lists: owner, contractor, and shared. In a consensus-reaching process, the FPRC approach is applied to shared tasks, where expert opinions on responsibility conflict are expressed, to achieve an aggregated responsibility decision for each task. Experts compare the three responsibility alternatives in pairs by using linguistic preferences, defined on a fuzzy preference scale, to select a preferred responsibility alternative for each of the conflicting tasks. A computed linguistic consensus degree guides the experts on their level of consensus in every round of the process. The quality of experts is defined with a fuzzy expert system–determined importance weight factor for each expert. The FPRC approach is relevant to the construction industry, as it incorporates consistency in decision making by allowing experts to measure and reach an adequate level of consensus linguistically when deciding on responsibilities. The proposed approach provides a method of reducing conflicts in the assignment of task responsibility between the owner and its contractors as early as the project initiation phase; thus, the project teams can concentrate on the work to be done rather than deal with responsibility conflicts during project execution.     

动力机械支承系统故障研究

针对2个典型动力机械支承系统故障案例,结合诊断原理,综合运用频谱分析、逆向推导、考虑运行史和检修史等多种诊断方法,准确地诊断出故障的根本原因,使设备隐患得以消除。     

LAIT-XPERT VACHES: an expert system for dairy herd management

An expert system called LAIT-XPERT VACHES, developed to evaluate technical management of dairy enterprises, was tested using case data. The expertise of the system was provided from information obtained from interviews of three dairy management or nutrition experts. LAIT-XPERT VACHES contains over 950 rules and runs on IBM-compatible personal computers. It calculates objectives in milk production, fat and protein production, feeding cost, reproduction, and other areas. In addition, it detects problems and high performance according to these objectives; researches the causes of problems in herd management, feeding, genetics, health, housing, and other areas; and lists conclusions by sector. Using a monthly report of 10 farms registered in the DHI program of Quebec, LAIT-XPERT VACHES issued 92.3% of the conclusions also issued by experts. However, the experts revealed only 53.3% of conclusions reached by the expert system. With Agri-Lait reports of three farms, all conclusions of LAIT-XPERT VACHES were validated by the experts. These results demonstrated that use of an expert system makes it possible to obtain analyses of dairy performance data equivalent to those of human experts.     

氧化铝生产计算机专家辅助决策支持系统

氧化铝生产计算机专家辅助决策支持系统是针对混联法氧化铝生产的大型化、连续性和波动性大的特点而设计的，具有四个层次，包括设备、故障管理、设备故障调度咨询以及生产调度咨询等功能系统。它将MIS管理技术、专家系统和智能决策支持技术有机地合起来。     

针对生产流水线的故障诊断专家系统

以专家系统基本理论为基础 ,针对连续性生产流水线设备故障的特点 ,结合设计实例 ,详细论述了故障诊断专家系统的设计思路与方法。该专家系统具有交互式推理和自动推理的功能 ,并采用了基于故障树的搜索来处理精确推理问题 ,用模糊推理来处理不精确推理问题。该专家系统还引入了解释机制 ,使推理具有一定透明性     

The expert witness, the adversary system, and the voice of reason: Reconciling impartiality and advocacy.

The legal system and the profession of psychology have differing expectations that cause psychologists who serve as expert witnesses to face fundamental conflicts. The rules of evidence demand that experts assist the trier of fact, the adversary system demands that experts serve the parties who retain them, and the ethical codes and guidelines demand that experts impartially assist the court, only in their area of competence. Psychological experts are left to sort out the competing demands, as well as their potential liability, while recognizing the importance of being persuasive. This article addresses the competing tensions expert witnesses face and offers an approach to reconciling these tensions that relies on competence, relevance, perspective, balance, and candor. (PsycINFO Database Record (c) 2010 APA, all rights reserved)