智能决策支持系统平台协同式客户/服务器体系结构模型的设计与实现

智能决策支持系统（ＩＤＳＳ）开发工具要真正实用化，必须解决ＩＤＳＳ与计算机主流技术（如多媒体用户界面、网络通信、数据库等）的集成方法。本文提出在主流技术上集成ＩＤＳＳ的开发思想：将模型计算与知识推理从具体的ＩＤＳＳ中分离出来，并当成一种可共享的资源，然后建立一协同式客户／服务器计算环境（ＣｏｏｐｅｒａｔｉｖｅＣｌｉｅｎｔ／ＳｅｒｖｅｒＣｏｍｐｕｔｉｎｇＥｎｖｉｒｏｎｍｅｎｔ，ＣＣＳＥ），将模型计算与知识推理作为一种特殊的数据处理服务，统一由一组协同式服务器提供；ＣＣＳＥ支持客户使用确定的应用程序接口（ＡＰＩ），以透明的、规范的形式请求服务器提供服务；这样可以采用常规工具（如Ｃ＋＋语言）开发ＩＤＳＳ系统，也就允许ＩＤＳＳ与计算机主流技术进行集成。文章阐述了这一设计的合理性，讨论了ＣＣＳＥ的体系结构和实现技术     

基于层次分析法的决策支持系统设计与实现

本文根据重点产业选择及决策支持系统的开发实践，介绍了基于层次分析法的决策支持系统的实现，并对开发过程中的若干问题进行了探讨，提出了相应的解决方案，最后研究了基于软系统方法论原则在Ｉｎｔｒａｎｅｔ和ＣＳＣＷ方式下实现群体决策的技术方案。     

基于互联网络的决策支持系统模型

基于广域互联网络的决策支持系统取代传统的Ｃ／Ｓ模式的局域决策支持是决策支持系统得以进一步发展的必然。文章讨论实施基于Ｉｎｔｅｒｎｅｔ的决策支持系统的优点和关键技术,给出基于广域互联网络决策支持系统的模型。     

虚拟企业信息系统

介绍了基于因特网的企业信息系统体系结构与实现技术,同时针对国内大、中型企业的特点与需求,基于先进性、可靠性、实用性的准则,详细分析了客户机／服务器（Ｃ／Ｓ）模式和浏览器／服务器（Ｂ／Ｓ）模式的各自优缺点,提出了集成Ｃ／Ｓ与Ｂ／Ｓ模式的虚拟企业信息系统体系结构模型（Ｂ－Ｃ－Ｓ模型）。     

面向对象知识库系统CAOBS／V1.2的设计与实现

文中介绍了一个面向对象知识库系统ＣＡＯＢＳ／Ｖ１．２。该系统是在一个面向对象数据库管理系统基础上进行开发的。我们重点研究了面向对象的知识表示、可视查询、问题的推理求解与知识的获取机制。在ＣＡＯＢＳ／Ｖ１．２系统中，问题推理求解采用基于事例的推理，辅之以基于规则的推理模式。我们还开发了一种新型的可视知识查询语言－ＶＫＱＬ，其查询的直观性和方便性均要强于传统的文本查询语言。文中论述了ＣＡＯＢＳ／Ｖ１．     

基于PDM框架的并行集成技术研究

本文具体论述了基于ＰＤＭ的产品集成开发体系结构及系统集成框架。依据并行工程的产品开发哲理及细化设计循环的思想,分析了ＣＡＤ／ＤＦＭ／ＣＡＰＰ／ＣＡＭ并行集成的实现方法。通过ＯＤＢＣ标准接口的方式实现了与ＭＩＳ、ＭＲＰⅡ系统的集成,有效地达到了企业内部信息资源的共享。基于ＰＤＭ框架来实现ＣＡＤ／ＣＡＰＰ／ＣＡＭ的并行集成是一种较为理想的模式。     

基于注册表的微内核模型管理服务系统的设计与实现

模型的有效管理及其共享服务是决策支持系统开发和应用中一直需要解决的问题。文中介绍了作者开发的基于注册表的微内核模型管理系统,并重点论述了在开发过程中解决的一些技术难点。该服务系统基于操作系统注册表以微内核机制向决策支持系统提供模型访问操作,非常适合于基于C／S模式的决策支持系统以及群决策支持系统的开发。     

CIMS环境下C/S与B/S混合模式CAPP系统的研究与开发

在基于ＣＩＭＳ环境下,ＣＡＰＰ不仅需要与ＣＡＤ／ＣＡＭ的集成,而且也必须与ＥＲＰ／ＭＨＰＩＩ／ＭＩＳ等分系统集成的思想,该文分析了ＣＡＰＰ与ＣＡＤ／ＣＡＭ、ＥＲＰ／ＭＲＰＩＩ／ＭＩ　、ＣＡＱ、ＦＭＳ／ＦＭＣ等分系统之间的关系和数据流,指出ＣＩＭＳ环境下不同用户对象对ＣＡＰＰ的要求及用户权限的差异。并据此提出基于Ｃ／Ｓ与Ｂ／Ｓ混合模式的ＣＡＰＰ系统设计方法。结合具体 ＣＩＭＳ环境,开发了以 Ｗｅｂ和数据库为支持环境的混合模式集成化 ＣＡＰＰ系统。     

基于PDM框架的并行集成技术研究

本文具体论述了基于ＰＤＭ的产品集成开发体系结构及系统集成框架。依据并行工程的产品开发哲理及细化设计循环的思想,分析了ＣＡＤ／ＤＦＭ／ＣＡＰＰ／ＣＡＭ怕实现方法。通过ＯＤＢＣ标准接口的方式实现了与ＭＩＳ、ＭＲＰＩＩ系统的集成,有效地达到了企业内部信息资源的共享。基于ＰＤＭ框架来实现ＣＡＤ／ＣＡＰＰ／ＣＡＭ的并行集成是一种较为理想的模式。     

一个基于可高集成界面的软件定义开发环境MHSC／E

软件开发存在着方法论需求。基于作者提出的ＭＨＳＣ方法论思想，本文提出一个支持软件定义开发的可视集成环境ＭＨＳＣ／Ｅ。通过可视界面支持软件定义的变换、求精与仿真。ＭＨＳＣ／Ｅ较好地反映出ＭＨＳＣ的核心思想。本文着重介绍ＭＨＳＣ／Ｅ的环境组成、集成界面以及高层构造技术和支持工具。     

Integration of decision support systems to improve decision support performance

Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes.     

SaaS平台企业级系统的智能客户端的研究

SaaS平台下企业级系统逐渐被世界不同国家的企业和用户所认同,其技术也逐渐成熟。然而,在客户端领域,传统的C/S模式和B/S模式已不能满足客户的需求,多种技术的融合已成为客户端技术的发展趋势。本文针对C/S模式和B/S模式的优点和缺点的分析,将C/S模式与B/S模式融为一体,利用智能客户端技术的方法,提高了企业的效率和效益;并详细的介绍了智能客户端的系统结构和采用的关键技术,体现了智能客户端技术的优越性。     

基于数据仓库的投资项目决策支持系统研究

以投资项目决策支持系统IPDSS为例,研究了数据仓库技术在决策支持系统中的应用。介绍了决策支持系统的概念和作用,以及建立投资项目决策支持系统的意义,并在数据仓库、联机分析处理和数据挖掘的理论基础上,提出了基于数据仓库的决策支持系统的体系结构。然后,在此基础上建立了IPDSS,并分析了IPDSS的主要模块和模型、C／S体系的三层结构以及数据仓库管理系统。IPDSS的实际应用效果表明,将数据仓库技术应用到决策支持系统中。能够提高系统的性能和决策支持效果,是DSS未来发展的新方向。     

基于中间件的信息系统安全解决方案

C／S结构与B／S结构各有优缺点,怎样结合B／S与C／S结构是开发MIS（Management Information System）普遍关注的问题。在实际应用中,两种结构的有机结合,可以扬长避短,有效地发挥了各自的优势。随着信息系统规模的不断扩大和互联网技术的发展,多层体系结构B／W／S／S、C／S／S应运而生,同时,B／W／S／S与C／S／S混合结构下信息系统的安全性也受到威胁。在综合分析了B／W／S／S和C／S／S混合结构信息系统模式的基础上,提出了一种基于中间件的C／S／S与B／W／S／S混合模型的MIS安全解决方案。     

MM-DSS: Integrating multimedia and decision-making knowledge in decision support systems

Multimedia (MM) information systems have been utilized for decision-making tasks since they were developed in the early 1990s. Few research studies to date have paid attention to the integrated mode of MM information with a decision support system (DSS) or have investigated the role of MM information and DSS from the perspective of model-based knowledge management. This paper proposes a multimedia decision support system (MM-DSS) to address the above unexplored issues. The proposed MM-DSS manages MM information with the use of a newly developed extended attributed relational graph (ARG) and the structured modeling (SM) technique in order to support complicated decision-making processes intelligently and systematically. This paper illustrates the development of the new extended ARG and the SM method, and their integration into mathematical decision-making knowledge. The proposed MM-DSS responds to the needs of representation, storage, and retrieval of MM information in decision-making processes. Results of simulation show that the proposed MM-DSS is successful in tackling an optimization problem of factory scheduling.     

A structured modeling based methodology to design decision support systems

Many Decision Support Systems (DSS) support the decision making process through the use of mathematical models and data. DSS design involves modeling data as well as mathematical relationships in a domain. The process of model formulation and subsequent integration of model with data in a DSS is a complex and ill-structured process. This paper proposes a methodology based on Structured Modeling (SM), originally introduced by Geoffrion together with the modeling language SML, to model and design the DSS. The methodology includes rigorous and step by step procedures to design and integrate data and modelbases. The main contribution of our approach lies in the integration of research in database design, and mathematical model formulation within the structured modeling framework. The resultant procedures can be easily automated and taught to students in DSS courses. The motivation for our research stemmed from our constant frustrations in teaching DSS courses over the last five years. In the last two years, when we used our methodology, the performance of the students improved significantly. The average score in the DSS project went up to 85 from 60. Our positive experience in using our methodology in classes over the past two years suggests that the methodology imposes structure into the analysis of decision problems, and as a result students produce better DSS designs for classroom cases.     

DSS/SINS组合导航实时滤波仿真

北斗双星定位系统的定位原理决定了其存在导航定位实时性较差的缺点。为了解决双星定位实时性差的问题,提出了一种新的北斗双星／SINS组合导航实时滤波方法,即对双星定位的静态误差进行建模,将静态误差模型作为其动态误差的残差模型与双星定位时间延迟随机常数一起扩充为组合导航滤波器的状态变量,然后对北斗双星／SINS组合导航系统进行状态估计的滤波方法。通过计算机仿真,结果表明该实时滤波方法能够更好地解决北斗双星／SINS组合导航在实际工程应用中定位实时性较差的缺点,从而提高了组合系统的导航精度,对北斗双星／SINS组合导航系统的实际应用有重要的参考价值。     

基于C/S和B/S混合模式的矿井监控系统研究

文章介绍了C/S和B/S模式的结构特点以及它们的优缺点,指出了基于C/S和B/S混合模式在矿井监控系统中应用的前景。该模式的应用为今后的系统开发提供了一定的借鉴意义。     

Mapping the intellectual structure of research in decision support systems through author cocitation analysis (1971–1993)

This study applies factor analysis of an author cocitation frequency matrix derived from a database file that consists of a total of 23,768 cited reference records taken from 944 citing articles. Factor analysis extracted eleven factors consisting of six major areas of DSS research (group DSS, foundations, model management, interface systems, multicriteria DSS, and implementation) and five contributing disciplines (multiple criteria decision making, cognitive science, organizational science, artificial intelligence, and systems science). This research provides hard evidence that the decision support system has made meaningful progress over the past two decades and is in the process of solidifying its domain and demarcating its reference disciplines. Especially, much progress has been made in the subareas of model management such as representation, model base processing, model integration, and artificial intelligence application to model management leading towards the development of a theory of models. To facilitate the transition from the pre- to post-paradigm period in DSS research, this study has completed important groundwork.     

汽车发动机缸体数控加工的一种方法

针对汽车发动机缸体激光淬火加工提出了一种数控加工方法，该法实现了缸体激光淬火的自动控制过程，采用计算机数控技术实现其硬化发动机缸体内表面的效果。它可选择多种形式的网纹，平均加工一个缸体仅用１０ｍｉｎ以下，缩短了工时，提高了汽车缸体加工的科学性。