POADES知识库的构建

提出面向问题分析与决策专家系统的知识库构建方法,并用于公路工程质量问题智能分析与诊断专家系统开发。以问题为核心,根据关键的基本对象、问题对象、问题现象对象、原理知识对象和过程知识对象(MP4对象)对知识进行筛选,实现知识领域化,对其进行抽象和分类得到层次化表示的问题对象树,以问题对象树为依据构建知识字典和知识关系。结果证明该方法可以较快地建立知识库。     

POAD专家系统中的知识检索方法

为了充分发挥面向问题分析与决策(POAD)专家系统在大容量知识库构建和以人为主导推理方面的优势,需要增强系统的知识检索能力。根据POAD专家系统的知识表示和推理方法设计了简单检索及层次检索方法,简单检索方便,用户不需要特别训练;层次检索则可以实现复杂知识检索,对于大容量知识系统效果尤为明显。此外还设计了模糊检索和结果中再检索等其他检索方法。应用实验表明,在POAD专家系统中设计和开发有效的知识检索方法可以极大地提高专家系统的推理速度。     

基于Prolog语言的装备维修决策专家系统设计与开发

采用Prolog智能语言对装备维修决策专家系统进行了设计与开发。从维修知识和推理能力两方面研究了装备维修专家的基本特点;分析了基于Prolog的专家系统的基本语法、推理方式及其在装备维修中的应用方式;设计并开发了装备维修决策专家系统的元知识库、关联知识库和应用知识库;最后采用Visual Prolog和VC++混合编程方式开发了某装备维修决策专家系统。     

基于规则的通用专家知识库故障诊断方法

针对故障诊断专家系统实用性与通用性的矛盾,在简要分析专家系统工作原理的基础上,提出了一种以用户为中心,基于规则表达的通用性专家知识库故障诊断方法。将规则推理？模糊决策[1]融为一体,形成一阶梯式故障推理机制;对不同的诊断对象,只要设置好必要知识表达模型,就可自行生成一专用基于规则的专家知识库故障诊断方法,并能自动输出诊断结果。     

专家系统中知识一致性和完备性检验的一种方法

专家系统知识库中的知识可看作为一个推理网络。推理网络可以分解为若干个与或图。本文以与或图为基本考察对象,采用割集概念和布尔运算给出知识检验的方法。可对知识库知识进行一致性和完备性检验。     

基于规则的专家系统时间估计研究

在一些复杂控制系统中,专家系统作为一个决策控制器,满足整个系统的性能需要,因此研究专家系统的推理时间是必要的.专家系统的推理时间与其推理模式、知识库结构等因素有关.针对知识库结构,探讨了基于规则的专家系统的推理时间问题,利用时间齐次马尔可夫链为专家系统知识库建模,并给出了相应的时间估计模型.     

专家系统的实时性分析

在一些复杂控制系统中 ,专家系统作为一个决策控制器 ,满足整个系统的性能需要 ,因此研究专家系统的推理时间是必要的。专家系统的推理时间与其推理模式、知识库结构等因素有关。针对知识库结构 ,通过专家系统的推理时间研究了实时性问题 ,利用时间齐次马尔可夫链为专家系统知识库进行建模 ,并给出了相应的时间估计模型及其排列准则。     

基于本体的应急救援知识库构建及其应用

针对专家系统在应急救援领域应用中存在的知识表示及推理等问题,采用基于本体的知识表示方法与基于Jena的规则推理引擎,参考简单知识工程方法论与Jena规则语法建立一个高速公路应急救援本体与推理规则,实现本体知识库的推理。将该知识库应用于高速公路应急救援系统中,结果表明其具备解决实际问题的能力;有利于领域知识的共享与重用;促进了专家系统在高速公路应急救援领域的发展。     

专家系统的实时性分析

在一些复杂控制系统中,专家系统作为一个决策控制器,满足整个系统的性能需要,因此研究专家系统的推理时间是必要的。专家系统的推理时间与其推理模式、知识库结构等因素有关。针对知识库结构,通过专家系统的推理时间研究了实时性问题,利用时间齐次马尔可夫链为专家系统知识库进行建模,并给出了相应的时间估计模型及其排列准则。     

基于产生式探井决策专家系统的研究与应用①

基于产生式的探井决策专家系统以人工智能为理论,采用产生式知识表示方法,以油井钻探数据为依据,将获取的探井专家经验知识存入知识库,通过高效的推理,给出合理的决策方案,提高探井工程效率。     

Basic algorithmic shell of onboard real-time advisory expert systems for operation situations typical for an object

The basic algorithmic shell for onboard real-time advisory expert systems for typical operation situations of anthropocentral objects is oriented on the formal model of the subject domain which includes the following ideas: general operation problems of an anthropocentral object, semantic networks of typical operation situations and problem subsituations in them. This system possesses two hierarchical levels in the knowledge base. On the first level, the production rules activate an adequate problem subsituation in real time. On the second level, problems of this subsituation are solved using the dynamic models of development of its fragments using the following inference mechanisms: multicriteria choice of a decision alternative, decision according to a precedent, decision based on an optimization problem, production rules. Upon development of an onboard real-time advisory expert system for a particular typical situation, the basic shell is filled with knowledge related to this typical situation with simultaneous rejection of unclaimed fragments. Upon program implementation of the algorithmic shell filled with knowledge, the shell is adapted to the onboard information environment of a given type of anthropocentral object and computational capabilities of the onboard computer system.     

An expert system for choosing the best combination of options in a general purpose program for Automated Design Synthesis

An expert system called EXADS has been developed to aid users of the Automated Design Synthesis (ADS) general purpose optimization program. ADS has approximately 100 combinations of strategy, optimizer, and one-dimensional search options from which to choose. It is difficult for a nonexpert to make this choice. This expert system aids the user in choosing the best combination of options based on the users knowledge of the problem and the expert knowledge stored in the knowledge base. The knowledge base is divided into three categories; constrained problems, unconstrained problems, and constrained problems being treated as unconstrained problems. The inference engine and rules are written in LISP, contains about 200 rules, and executes on DEC-VAX (with Franz-LISP) and IBM PC (with IQ-LISP) computers.     

计算机生成航空兵力系统的专家知识表达方法

在计算机生成航空兵力系统中,采用了面向对象技术来表示专家知识,将专家知识封装在飞机对象的实体模型中,文中着重从决策角度叙述文中采用的专家知识表示方法的特点。其中,层次化的知识表示方法便于充分描述专家思想,也利于快速推理。另外文中采用了规则集逻辑有效性检测策略,在保证规则集充分性、唯一性基础上,使得规则集具有表示简单,推理快速的特点,最后给出系统实际运行结论。     

An example of expert system on numerical modelling system in coastal processes

With the advent of artificial intelligence technology as well as the widespread popularity of desktop microcomputers in recent years, integration of this new technology with the traditional numerical modelling system becomes a current trend in order to solve various engineering problems. It renders a more intelligent and user-friendly system on the problem domain. In this paper, a knowledge-based expert system on numerical modelling system for coastal water processes is delineated. Expert system application, as a key branch of artificial intelligence technology, is integrated with traditional numerical modelling for simulating flow and water quality phenomenon in coastal waters. The knowledge bases are classified into five major types, namely, a variety of models, relations between various model parameters and real physical conditions, feasible options of model parameters, question base as a user-interface directing the user to depict the actual physical conditions, and the rules of inference deducing the feasible choice of model and its parameters. A hybrid expert system shell, Visual Rule Studio, is employed as an ActiveX Designer under Microsoft Visual Basic environment because it combines the advantages of both production rules and object-oriented programming technology. Both forward chaining and backward chaining are used collectively during the inference process, which is mainly driven by premises and conditions with the highest factors of confidence. The inference engine will drive the decision tree to explore the most probable option of numerical model and parameters matching the real problem specifications. It is shown that the application and integration of the knowledge-based expert system technology into numerical modelling for coastal processes can provide substantial assistance to novice users for selection of numerical model as well as parameters.     

基于WEB的非精确正向推理专家系统的研究与应用

文章介绍了非WEB的非精确正向推理专家系统的基本思想及存在的问题，通过增加其WEB功能，提出了基于WEB的非精确正向推理专家系统，使其能在Internet／Intranet上进行非精确诊断分析，并给出了模型设计思想，部分程序代码分析和一个知识库的例子。     

VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table

This paper proposes an expert system called VIBEX (VIBration EXpert) to aid plant operators in diagnosing the cause of abnormal vibration for rotating machinery. In order to automatize the diagnosis, a decision table based on the cause-symptom matrix is used as a probabilistic method for diagnosing abnormal vibration. Also a decision tree is used as the acquisition of structured knowledge in the form of concepts is introduced to build a knowledge base which is indispensable for vibration expert systems. The decision tree is a technique used for building knowledge-based systems by the inductive inference from examples and plays a role itself as a vibration diagnostic tool. The proposed system has been successfully implemented on Microsoft Windows environment and is written in Microsoft Visual Basic and Visual C++. To validate the system performance, the diagnostic system was tested with some examples using the two diagnostic methods.     

Taking decisions in the expert intelligent system to support maintenance of a technical object on the basis information from an artificial neural network

In this paper, an intelligent operation system, which consists of an intelligent diagnostic subsystem (with a neural network) and an intelligent maintenance subsystem (with an expert system), was presented and discussed. The artificial neural network and the expert system, which use the information developed in the neural network, perform a special function in this system. The functional combination of the artificial neural network and the expert system together created a new solution in the form of an intelligent system, which was referred to as an intelligent maintenance system. This article also covers decision-making methods that are used in an expert maintenance system and whose purpose is an organization and control of the process of the prevention of technical objects. For this purpose, the method was described of taking decisions by an expert for complex parametric type hypotheses and for simple finished type hypotheses in the set of possible decisions’ hypotheses. A considerable part of this paper covers the presentation of the method to transform diagnostic information into the required form of maintenance information. For this purpose, an algorithm of the work of maintenance system was performed and descried. In the creation process of the maintenance knowledge base, the specialist knowledge of a human specialist was also used. Hence, a skilful and proper taking of decisions by an expert to create this set of information is essential. Two inference methods were characterized and described in this paper. The theoretical results obtained were verified in the examination of the influence of each of these decision-making inference methods on the final results of the process of the prevention treatment of an object.