A multi-agent decision support system for stock trading

A distributed problem solving system can be characterized as a group of individual cooperating agents running to solve common problems. As dynamic application domains continue to grow in scale and complexity, it becomes more difficult to control the purposeful behavior of agents, especially when unexpected events may occur. This article presents an information and knowledge exchange framework to support distributed problem solving. From the application viewpoint the article concentrates on the stock trading domain; however, many presented solutions can be extended to other dynamic domains. It addresses two important issues: how individual agents should be interconnected so that their resources are efficiently used and their goals accomplished effectively; and how information and knowledge transfer should take place among the agents to allow them to respond successfully to user requests and unexpected external situations. The article introduces an architecture, the MASST system architecture, which supports dynamic information and knowledge exchange among the cooperating agents. The architecture uses a dynamic blackboard as an interagent communication paradigm to facilitate factual data, business rule, and command exchange between cooperating MASST agents. The critical components of the MASST architecture have been implemented and tested in the stock trading domain, and have proven to be a viable solution for distributed problem solving based on cooperating agents     

A decision support system for interactive decision making-Part I: model formulation

A comprehensive decision support system, GMCR II, is developed for the systematic study of real-world interactive decision problems. Model formulation is presented in Part I, and analysis and output interpretation in Part II. GMCR II is based upon existing and new research developments of the graph model for conflict resolution. In Part I, specially designed data structures and corresponding algorithms are implemented for generating and representing possible states, removing infeasible states, coalescing indistinguishable states, and specifying and storing allowable state transitions. Algorithms implementing different approaches to the elicitation of preferences over states enable GMCR II to construct and manage an efficient, flexible, and complete graph model of a strategic conflict.     

物流企业遴选业务项目的决策支持系统开发

随着物流行业深入发展,行业内部竞争趋势不断加大,由传统人为决策转由决策支持系统辅助决策是很有必要的。本文从决策支持系统出发,介绍了决策支持系统的组成以及发展,并且通过对一个实际项目中的核心实现部分进行分析,阐述了物流企业遴选业务项目的决策支持系统的开发。     

决策支持系统的建模方法研究

决策过程涉及的信息繁杂、对于模型要求比较高,尤其在处理非结构化的建模时,常用的数学方法效率就很低.介绍了系统辨识理论在构造决策支持系统模型的思想,该思想在非结构化和半结构化过程模型问题的处理中有较高的参考价值.     

FMIS: a decision support system for forest fire prevention andfighting

This paper presents a decision support system for managers in charge of process monitoring, this domain being representative of rapidly increasing emergencies. Designing such a system means combining tasks: automate data processing; give the user efficient access to all relevant data; and synthesize pertinent information. Data used for decisions come from several independent sources. The authors introduce the concept of a scenario associated with every kind of information managed by this system, which describes the tasks related with this information and their scheduling. The system architecture is built around the association of a reactive database and a real-time information manager, whose task is to follow the scenarios describing the processes to trigger for all incoming data. This architecture, based on specifications and knowledge, allows autonomous behavior of the system in order to monitor, update and display all information needed for the user's decisions. It uses a declarative approach, i.e. it separates what is application dependent (data, scenarios and processes) from what is generic, and can be used for other applications. The Fire Management Information System is an application dedicated to forest fire prevention and fighting, partially funded by the European Research Programme for Environmental Protection     

基于数据仓库的教育决策支持系统

本文给出了一个通过实时联机分析和实时联机挖掘相结合技术的,能够有效提供教育决策支持系统的框架,这一系统能够有效进行教育信息的存储,并可以根据教育管理决策的需要,对数据进行相应的加工处理,通过数据反映教育活动的相关规律,最终为制定教育的发展政策提供量化的、科学的数据支持。     

FTTx接入规划决策支撑系统

为适应新的网络建设要求,提高工作质量和效率,开发FTTx接入规划决策支撑系统,以促进优化工作方法和流程,确保网络规划准确、工程建设适时、业务响应及时,缩短工作流程时限。     

决策支持系统在海洋渔业捕捞中的应用

海洋鱼群的动态特性对制定优化的渔业管理策略有着重要的影响。采用渔场资源的生态系统模型动态优化微分方程组表征渔业资源的过度投资开发问题。建立了海洋渔业资源合理捕捞问题的生态系统模型、社会效益模型和管理系统模型,研究海洋渔业资源的优化开发问题。针对海洋渔业管理的特有特性,探讨了基于决策支持系统的海洋渔业捕捞和管理问题。     

航空反潜搜索方案辅助决策系统研究

在分析现代航空反潜作战特点和搜索决策过程的基础上,研究了航空搜潜辅助决策系统必须具备的主要功能,提出了搜索手段和搜索图形方案的两个决策层次,给出了搜潜方案辅助决策系统的基本框架.最后,指出了运用现代决策系统理论建立搜索方案优化模型的研究方法和需要解决的其他关键技术.     

A decision support system for interactive decision making - Part II: analysis and output interpretation

For pt.I see ibid., p.42-55 (2003). The development of a comprehensive decision support system, GMCR II, for the systematic study of real-world interactive decision problems is presented. The companion paper (Part I), discusses how GMCR II elicits, stores, and manages conflict models; here (Part II), the focus is on GMCR IIs analysis and output interpretation subsystems. Specifically, this paper describes the powerful and efficient analysis engine contained in GMCR II, its informative output presentation and interpretation facilities, and a number of follow-up analyses. Furthermore, an illustrative case study is used to demonstrate how GMCR II can be conveniently applied in practice.     

配电网动态监控及决策支持系统的技术探讨

对配电网动态监控系统采用的技术进行了探讨。并对如何将配电网自动化系统、供电企业信息管理系统结合起来，以提高企业效益为目标，集配电网自动化、配电网生产技术管理、配电网营销管理、综合决策支持为一体的配电网动态监控系统所涉及的技术进行了论述。     

A decision support system for spare parts management in a waferfabrication facility

We present a decision support system for spare parts management in a wafer fabrication facility. The system is based on an analytical stochastic inventory model, which calculates the reorder level and quantity for each part to attain a specified service level. Results from our simulation study indicate that the policies suggested by the system either improve the service level or reduce the operating cost     

Architecture of the diagnostic decision support system in oncopathology

The structure, functional capabilities, and application-specified features of a decision support system for identification of oncological pathologies are described. The functional capabilities of the system components, the mechanism of their interaction with each other and with the user, and the algorithms of their operation are considered in detail. The principles of construction of an expert system in oncological pathology are generalized for use in other subject areas. The advantages and drawbacks of the statistical approach to construction of expert systems are revealed.     

节水灌溉自动化与决策支持系统的研究

干旱缺水是制约我国农业生产发展的主要因素之一.随着经济的发展、水资源的紧张及国家的重视,节水灌溉得到了迅猛地发展.文中以无锡市太湖万亩水稻示范区节水灌区建设为依托,开发了一套自动化灌溉及农田水分决策支持系统并得到了一定的应用,对下一步工作进行了展望.     

矿井安全辅助决策系统的设计与实现

在研究矿井安全辅助决策系统的模型中,以矿井安全监测系统中的自然灾害信息为数据样本,采用数据挖掘中的关联规则算法,对已有的影响矿井安全生产状态的自然因素构建回归模型,对以后的矿井安全生产状态做出预测,并做出评估.     

Location-based decision support for user groups

The ongoing progression of mobile communication devices, in particular with respect to positioning capabilities, has enabled the development of a new generation of location-based services (LBS). One of the most important aspects of current research on LBS is personalisation but it has been treated primarily for individual users. This article presents a first step towards personalised LBS that support user groups in their everyday decision-making, such as deciding where and when to meet for a common activity. The principles behind location-based group decision processes are outlined and a formal model for supporting such processes using methods of multi-criteria decision-making, time geography and similarity measurement is defined. This model is then implemented in the LBS prototype mediatrix. The prototype is used for simulating a location-based decision process aimed at finding an optimal restaurant for a user group in a city.     

Naval intelligence-knowledge-based decision support for navalcommand

A modern warship is fitted with a large number of sensors providing information to the command team. To help them assess this bewildering amount of information the author presents Marconi's command support tool (CST). The design of the CST uses an object-oriented approach and is written in the AI language Lisp. The author investigates the simulation and operation of the CST     

Design and application of a generic clinical decision support system for multiscale data

Medical research and clinical practice are currently being redefined by the constantly increasing amounts of multiscale patient data. New methods are needed to translate them into knowledge that is applicable in healthcare. Multiscale modeling has emerged as a way to describe systems that are the source of experimental data. Usually, a multiscale model is built by combining distinct models of several scales, integrating, e.g., genetic, molecular, structural, and neuropsychological models into a composite representation. We present a novel generic clinical decision support system, which models a patient's disease state statistically from heterogeneous multiscale data. Its goal is to aid in diagnostic work by analyzing all available patient data and highlighting the relevant information to the clinician. The system is evaluated by applying it to several medical datasets and demonstrated by implementing a novel clinical decision support tool for early prediction of Alzheimer's disease.