A decision support system for telecommunications

We have built a Decision Support System (DSS) which can to aid strategic management within the industry in making vital decisions in relation to Customer and Network profiles. This enables managers in the respective areas within the industry to fully utilise the vast amounts of data available to make projections and decisions in relation to utilisation of valuable resources. Copyright © 2002 John Wiley & Sons, Ltd.     

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.     

基于多层分布式体系的股票交易撮合系统

在市场信息瞬息万变、交易需求不断扩大的股票市场,具有速度快、成本低和突破场地限制等优势的电子化交易方式已经成为了市场趋势。从中国股票市场的交易机制出发,通过了解熟悉股票市场中订单的下单流程、交易所的订单处理机制、以及从订单下达到交易所形成交易价格的过程,深入了解交易所撮合订单的方式与机制,从而总结出交易撮合系统的需求,对系统进行分析建模与设计系统架构。创新处在于建立了一个基于多层分布式体系的股票交易撮合系统,首先设计了撮合算法以及数据库,然后根据真实市场机制采用多层分布式体系和内存撮合的数据存储模式,构建出了一个较为完善的交易撮合系统。     

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     

A decision model and support system for the optimal design ofhealth information networks

Health information networks (HINs) have become increasingly important in the structure of the health care industry. In this paper, we develop decision models and decision-support systems for designing and performing cost-benefit analyses of HINs. Our models prioritize the connection of various types of health providers to the network based on the costs and benefits of all participants: the network owners, information providers and information users of the HIN. The business strategy underlying this analysis is to design the system with the maximum value for the network owner(s), while ensuring that the network provides positive added value to each of its nodes. Our framework could be used to examine the design of and to perform a cost-benefit analysis for an existing network, for the expansion of an existing network, or for the development of a new network. One can also use the models for break-even point and scenario analyses. We have used our approach to examine an existing HIN [the Wisconsin Health Information Network (WHIN)] and to perform a scenario analysis for a possible restructuring of the network. Our empirical results in this case show that HINs could be highly profitable for all network participants     

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     

On-line learning delivery decision support system for highlyproduct mixed semiconductor foundry

A production learning system (PLS) based on the tool model was constructed as a decision support and real-time information update system to forecast the cycle time. A tool model includes a waiting model and a processing model. Each of the waiting and processing models uses a backpropagation neural network to establish the relationship between the input and output (time) of the model. Hence, cycle time estimation, tool group move and confirm line item performance (CLIP) value can be obtained based on the memory stored in the neural network. The result shows that the forecasting ability of the PLS has an error rate below 8% on average     

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.     

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。     

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。     

基于多主体决策融合的结构损伤识别

为了提高航空结构的损伤识别精度和速度,提出了一种基于互信息分类器选择的多主体决策融合方法.首先获取样本,对事先选定的模式分类器进行训练测试,得到各自的混淆矩阵;然后利用基于互信息的分类器相关度指标进行最优分类器选择,得到最优分类器组合;最后利用多主体决策融合方法,对系统进行最终识别.在航空铝制加筋板上的实验表明,本文方...     

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.     

动态分析辅助决策支持系统的构建

针对油田开发高投入高风险的特点,科学决策尤为重要.以关系数据作为初始推理依据,探讨如何实现工程领域信息系统中根据生产数据智能推导工程措施及做出生产决策,使计算机有效地承担智能决策与设计类型的复杂任务.智能系统模型包括专家支撑环境、智能应用、数据管理三个层次,基于该模型,论文构建了油田动态辅助决策支持系统,在油田领域知识建模的基础上实现了不同的油田动态开发智能应用系统.     

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.