Study on the System Design of Multiple Expert Systems Integrated Decision Support System

There has been an increasing interest in integrating decision support systems (DSS) and expert systems (ES) to provide decision makers a more accessible, productive and domain-independent information and computing environment. This paper is aimed at designing a multiple expert systems integrated decision support system (MESIDSS) to enhance decision makers' ability in more complex cases. The basic framework, management system of multiple ESs, and functions of MESIDSS are presented. The applications of MESIDSS in large-scale decision making processes are discussed from the following aspects of problem decomposing, dynamic combination of multiple ESs, link of multiple bases and decision coordinating. Finally, a summary and some ideas for the future are presented.     

决策支持系统中基于面向对象技术的信息反馈机制设计

利用面向对象的设计思想和方法 ,提出了一种在 DSS中实现信息反馈的方案 ,定义了系统中主要类的组成 ,着重研究了信息反馈对模型选择、策略分析以及策略选择的支持作用 ,分析了含信息反馈的 DSS中的信息流程 ,建立了相应 DSS的结构框架     

IDSS: Designing to Extend the Cognitive Limits

The paper presents the conceptual and operational basis of the creation of IDSS basedon our recent research experiences.In this paper,an intelligent decision support system,IDSS isdefined as:"any interactive system that is specially desinged to improve the decision making of its     

IDSS: Designing to Extend the Cognitive Limits

The paper presents the conceptual and operational basis of the creation of IDSS based on our recent research experience. In this paper, an intelligent decision support system, IDSS is defined as: any interactive system that is specially designed to improve the decision making of its user by extending the user's cognitive decision making abilities. As a result, this view of man-machine joint cognitive system stresses the need to use computational technology to aid the user in the decision making process. And the human's role is to achieve total systems's objectives. The paper outlines the designing procedure in successive steps. First, the decision maker's cognitive needs for decision support are identified. Second, the computationally realizable support functions are defined that could be provided by IDSS. Then, the specific techniques that would best fill the decision needs are discussed. And finally, for system implementation the modern computational technology infrastructure is emphasized.     

A Simulation-Based Decision Support System for Manufacturing Enterprise

1.INTRODUCTIONInrecedeyears,theChineseindustrialdecisionmakers(DMs),facingwiththechallengestohandlethecomplexsystemconvertibilityprobleminthedramaticsocialeconomicsystemreformprocess,requireamajorshifttowardsmaturityofnecessaryidentificationoffeasiblereformstrategiesandtheirassessment.ToolsofthedecisionsupportthathelpDMstolearnaboutpossibledecisionoptionsandtheirpredicatedresultsareofurgentneed.Ourresearcheffortsdevotedinconstructingthesimulation-baseddecisionsupportsystem(SBDSS)areaim…     

多目标评价的决策支持：理论、方法与实现

本文从决策支持的观点出发讨论了多目标评价问题的基本理论、方法和多目标决策支持系统的实现，指出决策者的偏好结构是解决多目标评价问题的关键因素，而多目标评价决策支持系统作为支持多目标评价问题的形成、分析和求解的软件工具，决策者的行为因素和系统的鲁棒性是其实现过程中需要重点考虑的方面。     

Multiple-criteria decision support systems: The powerful tool for attacking complex,unstructured decisions

The purpose of this research is to introduce the basic concept of multiple-criteria decision support systems (MCDSS) and to provide a general framework for building an effective MCDSS, a powerful tool for managing complex, unstructured decisions. Although various techniques for multiple-criteria decision making (MCDM) have been developed, this paper investigates the functions and properties of goal programming model-based MCDSS, the role of decision makers and MCDM models in the decision-making process, and the dynamic interaction between the model and the decision maker. The potential benefits of the MCDSS are also explained.     

DSS信息组织技术的现状与未来

DSS是一种为管理服务的信息系统。在现代社会, 决策任务、决策环境及决策过程是复杂多变的, 因此, 在这种信息系统中, 信息组织的结构、形态及加工处理方法, 都要与复杂多变的决策任务、决策环境及决策过程相适应, 才能为用户提供有效的决策支持。本文在回顾DSS二十年的发展历程中, 已经取得的信息组织技术成就基础上, 阐述了需要继续研究的各种技术方法, 并对进入21世纪未来十年DSS信息组织技术研究可能取得的突破作了进一步展望。     

Interactive Decision Support Algorithm and Its Application

1 IntroductionThe large scale system is usually described by multi--objective and multi--model, withwhich the practical problems could be so1ved reasonably. From review about multi-objective decision analysis and the disadvantages of math models, the combined structureof mu1ti--objective and multi--model wi1l be important to solve the problems for large scalesystem. Not only does the abstract structure approach to solve tl1e problem, but also it is..convenient to consider the experience knowle…     

村庄布局决策支持系统研究

介绍了县级政府进行平原地区村庄规划布局的决策支持系统的设计，该系统运用系统工程的思想，以决策支持的理论为核心，把整个决策过程分成若干步骤，每为个步骤提供若干基本模型，采用定性和定量相结合的决策方法，用０－１目标规划和知识推理两种方法科学合理的村庄搬迁合并方案，。软件把数学模和地理信息技术相结合，大大增强了决策支持系统的功能。     

网络化决策支持体系中分布式动态决策建模系统的研究

在高速动态变化的企业生存环境条件下，为了实现快速而准确的决策。本文提出了一种基于Internet和虚拟组织的网络化决策支持模式，论述了其结构体系和主要过程，根据集成化程度的不同。提出了2种基于动态建模的动态建模的系统软件构架及其通讯模型，并分析比较了两者的优缺点。     

Integrating complex system dynamics of pandemic influenza with a multi-criteria decision making model for evaluating public health strategies

Recent developments in computational sciences and computer modeling have allowed emergency preparedness exercises to include simulation models as supporting tools.These simulation models are generally built for predicting temporal and geographic patterns of disease spread.However sole use of simulation models in exercise design falls short in terms of incorporating policy decision makers’ preferences into decision-making processes.In this paper,a general framework for exercising public health preparedness plans with a decision support system is presented to integrate estimation of key epidemiological parameters with a system dynamics model of an outbreak.A multi-criteria decision making framework,an Analytical Hierarchy Process model,is then developed and integrated with the simulation model to help public health policy makers prioritize their response goals and evaluate mitigation strategies in a table-top exercise environment.     

卫星移动通信系统的模糊评估方法

探讨了航天工程评估的通用流程。建立了具有可移植性的卫星移动通信系统评估层次结构。将模糊层次分析法 (analytichierarchyprocess,AHP)与模糊综合法相结合完成权重分配和评估运算。通过三层浏览器 /服务器模式构建了决策支持系统。对两卫星移动通信系统案例进行了分析     

基于Agent的宏观经济决策支持系统

提出的基于 Agent的宏观经济决策支持系统是由多个既能独立运行又能相互合作的软件Agent构成的多 Agent系统 .利用 Agent将处理复杂系统的理论方法、决策理论、信息收集与知识发现技术、宏观经济预测与仿真技术有机地结合以更好地帮助用户作出好的决策     

The Application of Simulation Technique in Whole CIMS Life Cycle

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Integrating Knowledge－Based Simulation with Aspiration－Directed Model－based Decision Support System

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设计智能决策支持系统的认知工程方法

基于作者近年研制我国宏观经济智能决策支持系统的经验,本文提出一种设计智能决策支持系统(IDSS)的认知工程方法。并强调智能决策支持系统这一辅助决策工具的使用旨在提高最终用户(决策者)的认知决策能力。为此,对系统功能设计和适用技术实现作了相应的探讨。     

目标机动策略的智能决策支持系统研究

在建立地面防空作战信息对抗模型的过程中,为充分利用目标机动时的定性和定量信息,应用智能决策支持系统的基本理论和方法建立了目标机动策略的智能决策支持系统模型。该系统模型突出知识库创建、知识表示方法、模型库和决策支持系统建立,形成了具有专家水准的目标机动的战术机动自动决策仿真机制,为地面防空作战信息对抗模型的进一步研究提供了良好的平台。     

结合Agent技术的飞行任务规划GDSS研究

如何更好地利用领域专家和计算机软系统相互协调实现飞行任务规划成为近年来对飞行任务规划研究的一个热点。在飞行任务规划系统功能、结构和特点分析的基础上,借鉴了群决策支持系统(GDSS)理论和人工智能领域的Agent技术,将飞行任务规划系统设计成以各个领域专家为核心,利用Agent定义的全新飞行任务规划群决策支持系统,并给出其描述模型。该设计以具有领域专家为核心,各个Agent相对独立,系统结构灵活等特点。     

面向复杂决策任务的综合集成决策研讨总体框架设计

从群体决策任务结构化理论出发,分析了复杂决策任务研讨过程的层次结构和组合机理,结合从定性到定量的综合集成方法,研究提出了一种适合软件实施需求,能够充分实现人机结合的研讨信息分解集成框架,在此基础上设计实现了一种可付诸于实施的研讨厅系统———开放式群体决策研讨平台GASS,并给出一个企业开拓新市场的决策实例.