一种基于Petri网思想的知识库的动态维护方法

本文研究了基于规则的专家系统知识库的维护问题，在添加一条新规则后，知识库可能出现矛盾规则，循环规则，冗余规则，从属规则等。文中详细给出了基于Ｐｅｔｒｉ网思想的对知识库进行维护的算法，进而决定是否添加该规则，从而保证了知识库的一致性，为专家系统进行正确推理，提高推理速度打下了坚实的基础。     

基于RDBMS的智能决策支持系统的研究与设计

文章研究了基于RDBMS的智能决策支持系统(IDSS)的结构模型,提出了IDSS三种基本知识库(事实库,模型库,规则库)的设计方案和问题求解算法。IDSS是在传统的管理信息系统基础上辅助用户做出决策的智能信息系统,是数据库技术和实用信息系统发展的必然趋势。     

搅拌设备化工预设计专家系统的黑板系统结构

传统的手工设计混合设备的方法十分耗时且容易出错,因此实现设计的自动化和智能化是非常用意义的开发了搅拌设备化工预设计专家系统系统。详细介绍了专家系统的结构,系统采用两层黑板结构模型和多种知识源相结合的策略,来处理解决复杂的协同问题。知识源包括设计规则库、设计公式库和机械设备标准库,内部黑板主要是为规则库的推理机存储信息服务,而全局黑板系统则是整个系统的数据共享和信息交换中心,并采用层次框架结构进行表达,将人工智能技术与普通设计程序相结合,可以在设计过程为用户提供系统的帮助和指导,来实现搅拌设备设计的自动化和智能化。     

Enhancing development team flexibility in IS projects

Information system development projects face tremendous challenges because of business changes and technology changes. Research has shown that software team flexibility has a positive effect on project outcomes, but specific requirements for enhancing flexibility are lacking. Drawing from the input-mediator-outcome (IMO) team effectiveness framework, this research investigates the contextual inputs and team processes that lead to development team flexibility and how well team flexibility improves project outcomes. A survey was developed to consider a model derived from the IMO framework. One hundred fourteen members of information systems development project teams in China responded to the survey. Partial least squares analysis was used served to analyze the data. Results indicate that a participatory culture and cooperative norms are an effective foundation for improving required processes that include project coordination of the project and knowledge sharing activities. In turn, the improved process performance extends responses to changes in technology and the business climate. The improved flexibility in meeting change is predictive of outcomes related to project performance and quality of the final product.     

The complementary roles of expert systems and database management systems in a design for manufacture environment

Effective product design that satisfies functional requirements and can be manufactured easily requires vast amounts of knowledge on the part of the design engineer. This paper focuses on the complementary roles of expert systems and database management systems as they relate to the Intelligent Design System (IDS) in a Design for Manufacture (DFM) environment. Each technology complements the other in its strengths and abilities. The database management system provides during the design process. The expert system provides a reasoning mechanism for identifying manufacturing violations and generating meaningful recommendations. These components work cooperatively with a CAD interface to form a unified, intelligent design environment.An information flow analysis of the Intelligent Design System resulted in the development of three distinct classifications of information within the database: CAD data, a design catalog, and a knowledge base. The CAD data tables employ an, object oriented approach to store specific information about the physical contains cost, weight, and strength characteristics of the standard parts and fasteners used within the system. The knowledge base contains rules and heuristics concerning design and manufacturing methodologies.The placement of the expert system rules in the database represents an innovation. As a result, the expansion and updating of the materials, fasteners, standard parts, or manufacturing processes used by the Intelligent Design System is facilitated without increased due to the efficient management of the knowledge base by the database management system. This allows the designer to modify the knowledge and help the system to learn without the need for a knowledge engineer.     

Learning classification rules from database in the context ofknowledge acquisition and representation

A method for learning knowledge from a database is used to address the bottleneck of manual knowledge acquisition. An attempt is made to improve representation with the assistance of experts and from computer resident knowledge. The knowledge representation is described in the framework of a conceptual schema consisting of a semantic model and an event model. A concept classifies a domain into different subdomains. As a method of knowledge acquisition, inductive learning techniques are used for rule generation. The theory of rough sets is used in designing the learning algorithm. Examples of certain concepts are used to induce general specifications of the concepts called classification rules. The basic approach is to partition the information into equivalence classes and to derive conclusions based on equivalence relations. In a sense, what is involved is a data-reduction process, where the goal is to reduce a large database of information to a small number of rules describing the domain. This completely integrated approach includes user interface, semantics, constraints, representations of temporal events, induction, etc     

棉纺质量控制专家系统的设计

主要研究棉纺质量控制专家系统的体系构成、棉纺质量控制知识的表示策略及知识库的设计。知识库的设计是该系统设计最重要的工作,包括基本数据库和规则库两方面。知识库的核心内容之一是基本数据库,用来存放质量问题的描述、产生原因、防止和处理办法等。规则库由质量问题库、质量问题影响因素、质量问题处理措施三个库构成。知识库的设计方法是先将棉纺质量控制知识抽象成概念、事实和规则,然后用关系数据库来存储这些知识。在此基础上构建一个基于产生式规则的专家系统。本系统采用基于规则的数据和信息驱动正向推理为主,辅之以目标驱动控制策略,算法采用深度优先。合理的知识库设计和有效的推理方法使得该系统效果较好。     

Design and development of system level software tool for DCS simulation

This paper contributes the knowledge base in the context of applicability of simulation environment (analogous to virtual reality) in the Distributed Control Systems (DCS) domain. A simulated platform has been designed and developed considering the advanced features of DCS. The design and development of such simulation tool is considered to be generic in nature while advocating the System Level Software Tool (SLST) for DCS. The idea emphasizes that before designing a real DCS network/system for a target platform (e.g. machine, plant, automation system, etc.) the designer designs and tests a virtual DCS network containing the image such as control code, logical connectivity, control network database, event information, etc. of the target. Once the virtual design is over such image is transferred to the real DCS network/system. Not only DCS validation is achieved with such simulation-based design approach but also a considerable amount of design and installation time can be saved. Although, such ideas are not new in the engineering field but there are no SLST accommodating such features are available either in the DCS technology marketplace or in the research fields.     

Overcoming deficiencies of the rule-based medical expert system

One of the current deficiencies of the rule-based expert system is its static nature. As these systems are applied to medicine, this shortcoming becomes accentuated by: the rapid speed at which new knowledge is generated, the regional differences associated with the expression of many diseases, and the rate at which patient demographics and disease incidence change over time. This research presents a solution to the static nature of the rule-based expert system by proposing a hybrid system. This system consists of an expert system and a statistical analysis system linked to a patient database. The additional feature of a rule base manager which initiates automatic database analysis to refresh the statistical correlation of each rule ensures a dynamic, current, statistically accurate rule base. The philosophical differences between data and knowledge are also addressed as they apply to this type of hybrid system. The system is then used to generate four rule bases from different knowledge sources. These rule bases are then compared.     

面向事件处置的信息服务集成调度模型

以电子政务、电子商务等城市应用为背景,针对这些应用中跨领域事件处置所涉及的异构、分布式资源、服务集成调度以及跨领域知识共享问题,提出了一个面向事件处置的、基于规则的信息服务集成调度模型.该集成调度模型具有4个分层结构,包括资源层(resource layer)、知识层(knowledge layer)、业务层(business layer)和表示层(representation layer).重点就知识层形式化业务规则的定义、资源和服务的引用以及规则引擎等给出了详细的设计和实现.最后,对该模型进行了验证,实现了一个城市应急联动应用中的统一接警事件处置原型系统.     

New product development team intelligence: Antecedents and consequences

Our study investigated the effect of team knowledge on new product development (NPD). By investigating 207 NPD projects, we found that the declarative and procedural knowledge of the team and their use of IT had a positive influence on the team's knowledge base; and that the higher the functional diversity of the project team, the greater their overall knowledge. We also found that team knowledge positively impacted new product creativity and success in the market place.     

基于Multi-agent技术的知识发现新模型KDD的设计

KDD模型是基于双库协同机制的知识发现新模型,是结构化数据挖掘领域研究的一个新的分支。为了进一步提高KDD的智能性,文章设计了一个基于Multi-agent技术的智能数据挖掘系统。利用多智能体技术,实现了数据预处理、数据挖掘、知识的自动获取、基础数据库与知识库的同步进化与协调、知识的评价与表示等功能,为智能信息系统的发展提供了重要支持。     

Domino异构信息集成接口库的设计和实现

论文以一个企业的信息集成项目为背景,在Domino平台上进行二次开发时,对平台上附带的数据集成工具DECS(企业连接器)进行了研究,分析了它存在的不足,开发了新的异构信息集成接口库,用以改进Domino自身的数据集成能力。此异构信息集成接口库的设计和实现,为在Domino平台上进行异构信息集成系统开发的企业和单位提供了一种新的思路和方法。     

Supervized machine learning: Computer-aided development of a specialized dictionary

This paper presents a software complex for the computer-aided modeling of a term system. The project is implemented as an expert system that consists of a research team, a terminological knowledge base, a developer interface (the Semograf information system), and a user interface (TSBuilder and TSReader). Computer-aided design of a term system was achieved using data-mining methods, namely, decision-making trees and a modification of Rosenblatt’s perceptron.     

基于团队知识共享模型的知识订阅和发布机制

团队成员进行项目开发时需要共享彼此之间的知识,这样能够增加项目的开发效率。针对在Internet环境下进行团队项目开发的特点,提出了一种团队知识共享模型,通过使用本体来描述模型下的知识结构,在此基础上实现知识订阅和发布的形式化表示方法和规则,实验表明,此模型下的知识订阅和发布机制能够加快团队成员之间的知识共享。     

基于数据挖掘的数据库技术在转子故障知识发现中的应用方法研究

针对故障知识获取这一瓶颈难题,对基于数据挖掘的数据库技术去实现故障知识规则自动发现的方法进行了研究;在SQLSERVER 2005平台上,利用该平台提供的数据挖掘决策树算法,采用了将决策树算法与数据库系统的性能进行高效耦合的数据处理模式,建立了一种利用故障数据集自动获取故障知识规则的数据处理流程;最后利用转子故障实验获得的故障特征数据集进行的验证表明,该流程具有通过对故障数据集进行实时处理,自动建立起一种描述故障知识的决策树模型,并且通过对决策树枝进行结构元素的描述,可自动生成故障知识规则集合的功能;结果表明,SQL SERVER 2005数据挖掘平台提供的决策树算法,为基于故障数据资源的驱动挖掘出故障知识提供了一种新途径。     

一种CBR与RBR相结合的快速预案生成系统

将范例推理(case based reasoning,CBR)与规则推理(rule based reasoning,RBR)两种人工智能技术相结合,实现一种快速预案生成系统.它有效地解决了单纯RBR系统在预案生成过程中的时间延迟缺陷和知识库难以获取的瓶颈.通过CBR工具,能够把以前发生的紧急事件和解决方案生成预案.一旦新的事件发生,首先从预案库中进行案例的相似性检索,如果没有检索到预案或者检索到的预案匹配度很低,再采用RBR系统对紧急事件进行规则推理,然后把推理结果重新存入预案库.实验数据表明,这种方法对单纯RBR系统在时间响应上进行了有效的优化.另外,因为案例的获取比专家系统推理规则的获取容易得多,它同时解决了RBR系统推理规则难以获取的瓶颈.根据这种思想,实现了CBR与RBR结合的快速预案生成系统.目前,它已经应用到抗洪抢险的预案生成和城市应急联动的决策支持上,效果表明它在预案生成速度以及实际可操作性上都具有明显优势.     

基于数据驱动的大型数据库设计与实现

CIMS中工程应用数据库系统涉及到多个工程数据库管理系统以及非工程数据库管理系统的互联与集成,它可分解为若干个应用信息分系统和支持这些应用分系统之间信息交换与共享的支撑系统。基于异构的数据系统和文件管理,借鉴NIST技术,采用OO方法和语义关联数据模型,设计了一个面向对象的工程数据库模型及其软件结构,实现了数据的正确交换与共享,并确保全局数据的一致性、完整性和安全性。为构建大型数据库系统提供了一个可行的解决方案和技术支持。