AHP在工程训练设备综合性能评价中的应用

针对高校工程训练设备性能指标标准化困难,以及设备综合性能难以综合评价,设备管理决策没有有效数据支持的问题,提出一套基于层次分析法（AHP）的设备综合评价模型,并且对建立起的待评设备的层次评价体系进行评价,最后将该模型应用于某高校的工程训练B/S实时设备管理系统的设备综合评价模块中,其评价结果与实际相符,为学校设备处的设备管理人员提供了日常设备维护、课程安排、设备更换决策的支持。     

基于诺兰阶段模型的决策支持程序实现方法研究

文章叙述了使用Java开发平台和电子表格软件实现基于诺兰阶段模型的决策支持程序的方法,介绍了所需建立的类文件和Excel函数等技术要点,总结了此类决策支持程序在系统规划和分析阶段所起的作用。     

计算机应急辅助决策系统的应用

通过秦山第二核电厂计算机应急辅助决策系统的应用,实现了辅助判断功能、事故诊断和评价功能、应急响应行动模拟、应急响应支持等四大功能,在应急响应过程中为应急指挥部提供快速辅助决策支持,有效控制和减轻核事故应急状态的后果,避免和减少工作人员和公众所接受的剂量,保护环境。     

基于改进模糊综合评价模型的城市人居环境评价体系研究

为了对城市人居环境质量做出科学、客观的评价,提出一种改进的模糊综合评价模型,并将改进的模糊综合评价模型应用于城市人居环境质量的评价中。结合城市人居环境的特点,通过环境要素、环境设施和环境管理建立评价指标体系,并将层次分析法与群体决策相结合来确定评价指标权重,采用模糊综合评价模型和灰色关联分析算法确定城市人居环境的评价等级。通过实例结果可知,算法既能针对城市人居环境某方面进行评价,也能对城市人居环境的整体情况进行评价,评价结论客观、准确,计算过程简单,易用编程,为促进城市人居环境质量的改善提供可靠的决策支持。     

挖掘大学数字价值,建设高校决策支持

高等教育生存和发展的现实需求,使高校决策支持成为势在必行的手段,本文在高校信息化建设多年积累的人、财、物等学校各类数据的基础上,以为学校全局、各部门及师生提供多层次的智能决策支持为目标,提出了基于教育知识管理理论的高校智能决策支持模型,该模型从全校的视角,通过多元的主题展开分析,并配以文字、报表、图表等多种展现形式,多角度的提供更具高度、深度的统计分析和挖掘信息。本系统主要采用综合查询、OLAP（数据统计）和数据挖掘等三种建设形式,从不同维度为各种类型用户展现相应的信息内容,从而为校领导层提供科学合理的决策依据,进而为高校的跨越式发展起到一个科学的导向作用。     

云制造环境下基于竞标机制的云服务主动寻租

为了对云制造环境下的主动制造提供支持,促使服务交易双方共同获利,提出一种将竞标机制应用于云服务主动寻租的方法.该方法将用户制造需求分解成子任务,以标书的形式发布,云服务根据标书和自身实际决定是否投标;在评标时,竞标中心综合考虑对云服务投标书的评价和其它服务的推荐评价来决定中标云服务,并通过招租栏使质量差的服务也有被使用的机会.给出基于竞标机制的云服务主动寻租模型和算法描述,通过仿真实验,说明了方法的有效性.     

基于CBR与CGE技术的土地利用决策支持系统设计与实现

单一地理信息系统(GIS)缺乏对地学空间问题决策的支持能力,考虑到在GIS中集成基于案例的推理(CBR)与可计算一般均衡模型(CGE)技术开展地理计算既能有效解决动态决策环境下不良结构问题的同时,又具备评价研究区经济系统的出色能力,文中以ARCGIS 10为基础平台,以Visual C#为开发工具,建立了一个基于CBR与CGE技术的土地利用决策支持系统。该系统包括数据库管理子系统、GIS空间数据分析处理子系统系统、CBR子系统以及CGE分析子系统等6个部分,具有图属互查、空间数据分析、经济评价和辅助决策等功能,系统满足土地利用决策的普遍要求,有一定的推广使用价值。     

专家系统、人工智能

0323950新模糊形态学联想记忆网络的初步研究[刊]/王敏//电子学报.—2003,31(5).—690～693(L)0323951数字城市空间准入决策支持系统模型研究[刊]/周立//淮海工学院学报.—2003,12(2).—56～59(L)针对多元化空间准入制新理念正在逐步替代传统城市空间管理的情况,探讨了数字城市空间准入决策支持系统研究的目的和意义,研究了数字城市空间准入决策支持模型。通过分析空间准入评价决策支持系     

基于CBR与CGE手技术的土地利用决策支持系统设计与实现

单一地理信息系统（GIS）缺乏对地学空间问题决策的支持能力,考虑到在GIS中集成基于案例的推理（CBR）与可计算一般均衡模型（CGE）技术开展地理计算既能有效解决动态决策环境下不良结构问题的同时,又具备评价研究区经济系统的出色能力,文中以ARCGIS10为基础平台,以Vjsualc＃为开发工具,建立了一个基于CBR与CGE技术的土地利用决策支持系统。该系统包括数据库管理子系统、GIS空间数据分析处理子系统系统、CBR子系统以及CGE分析子系统等6个部分,具有图属互查、空间数据分析、经济评价和辅助决策等功能,系统满足土地利用决策的普遍要求,有一定的推广使用价值。     

基于全局-局部SVM的钢板表面缺陷分类

为了提高钢板表面缺陷分类识别,提出一种新的全局和局部支持向量机分类模型。首先,通过样本提取算法将整个训练样本划分为非边界样本和边界样本。非边界样本用于训练全局支持向量机,并获得两条全局决策边界。边界样本用于寻找测试样本的K-近邻样本,通过训练K-近邻样本获得相应的局部支持向量机。若测试样本位于全局决策边界线两侧,直接给出分类结果,否则,由局部支持向量机进行分类决策。最终,新的模型结合二叉树算法实现了4种钢板表面缺陷的分类问题。实验结果显示,全局和局部支持向量机模型有令人满意的综合性能。     

A new concept toward computer-aided medical diagnosis - a prototypeimplementation addressing pulmonary diseases

The original concept that led to the structuring of a computer-based medical decision support system (DSS) that is able to support a physician's diagnosis is introduced in this paper. The concept's implementation modeled a generic DSS, the core of which are an integrated knowledge/information base (KIB) along with the inference properties of a data evaluator. The KIB encapsulates the necessary medical knowledge and experience in the form of rules and constraints, preemptive tasks and actual patients' clinical data. The data evaluator handles approved medical subjective and objective criteria for assessing the KIB's data. The data evaluator incorporates a medical standard data gathering and decision process, structured upon the principles of the clinical differential diagnosis methodology, and has been integrated in the system by means of both algorithmic and artificial intelligence techniques. The novel model and the resulted computer-based package have been extensively tested at the Pulmonary Department of the University Regional Hospital Patras, Greece     

多层次分布式智能决策支持系统在区域经济中的应用

分布式智能决策支持系统是由多个物理上分离的信息处理节点构成的计算机网络，网络的每个节点至少含有一个决策支持系统或具有若干辅助决策的功能。文章将多层次分布式智能决策支持系统运用在区域经济分析中．以某地区经济的发展为研究对象，在研究智能预测方法、评价方法的基础上，讨论该地区经济协调发展的预测模型及控制模型．为区域经济决策者做出正确合理的决策提供一定的参考。     

科技成果评估专家系统中决策支持方法的研究

论述了在科技成果评估专家系统中引进评估决策支持的必要性，提出了科技成果评估决策支持系统的总体框架。考虑到评估方案制定过程的复杂性而采用专家参与评估的方法，同时对决策支持系统中较为成熟的传统决策支持方法进行了改进。结合初步实现的科技成果评估论证决策支持系统给出了典型步骤和相关评估算法。     

Social decision analysis

How can a diverse free society find decision mechanisms that are logical, efficient, and timely? This is a problem that has challenged man at least from the time of Plato's Republic. We see today factions of society arguing over alternatives rather than over values or probabilities. Adversary proceedings encourage people to advocate extremes rather than a careful balance of several considerations. Decision analysis, a logical procedure for balancing the many uncertain, complex, and dynamic factors that characterize a decision, offers promise of a new and valuable procedure for social decisions. The decision analyst creates an extrapersonal explicit model of the decision under consideration. Information on possible alternatives, uncertainties, relationships, or preferences can come from different groups and still be represented within the same decision model, with the implications for the decision apparent to all. One can imagine a society where decision making has become decentralized, where distinct bodies are responsible for creating social alternatives, assessing the probabilities of various outcomes for each alternative, and setting the preferences of society. Once the alternatives, information, and preferences were established, society would make the decision using only the principles of logic. Applications to automotive pollution, hurricane seeding, and nuclear safety demonstrate the approach.     

装备维修智能决策支持系统研究

从系统的功能需求入手介绍传统的智能决策支持系统的结构模型,分析装备维修智能决策支持系统的功能实现,按照智能维修的目标设计了系统的总体构架。数据仓库的建立和分析采用传统的方法;对装备维修资料进行分析组建相应的知识库;分析建立模型条件结合知识库建立模型库;用数据挖掘方法处理数据仓库、知识库和模型库中的知识实现系统的智能决策。结果证明该方法在装备维修智能决策支持系统中得到很好的应用。     

300-mm full-factory Simulations for 90- and 65-nm IC manufacturing

We present enabling capabilities and key results realized by the development and implementation of 300-mm full-factory simulation tools supporting Intel's 90-nm high-volume manufacturing and 65-nm technology development factories. We discuss key attributes of these simulators which are being utilized for strategic fab capacity planning, automation systems designs, and tactical manufacturing execution and decision support for continuous improvement. These simulators capture the dynamic behaviors of hundreds of production tools with thousands of production and engineering lots and integrate automated material handling systems (AMHS) behaviors in these production simulations. The paper discusses specific topical areas where these tools have found widespread use and emphasizes the importance of periodic model validation and calibration to the real factory.     

Modeling search in group decision support systems

Groups using group decision support systems (GDSS) to address particular tasks can be viewed as performing a search. Such tasks involve arriving at a solution or decision within the context of a complex search space, warranting the use of computerized decision support tools. The type of search undertaken by the groups appears to be a form of adaptive, rather than enumerative, search. Recently, efforts have been made to incorporate this adaptation into an analytical model of GDSS usage. One possible method for incorporating adaptation into an analytical model is to use an evolutionary algorithm, such as a genetic algorithm (GA), as an analogy for the group problem-solving process. In this paper, a test is made to determine whether GDSS behaves similarly to a GA process utilizing rank selection, uniform crossover, and uniform mutation operators. A Markov model for GAs is used to make this determination. Using GDSS experimental data, the best-fit transition probabilities are estimated and various hypotheses regarding the relation of GA parameters to GDSS functionality are proposed and tested. Implications for researchers in both GAs and group decision support systems are discussed.     

A hybrid approach using the analytic hierarchy process and integer programming to screen weapon systems projects

Screening weapon systems development projects is a complex, multicriteria decision problem that must be accomplished within a constrained resource environment. This paper presents a hybrid decision support methodology for use in the screening of weapon systems development projects. The hybrid methodology integrates the analytic hierarchy process (AHP) with a 0-1 integer portfolio optimization model. An AHP component allows the decision maker to incorporate qualitative and intangible criteria into the decision-making process and use the priority rankings of the AHP to represent a measure of value in the 0-1 integer model objective function. The hybrid methodology is extremely flexible and the decision maker can tailor both the AHP and the 0-1 integer optimization model to represent a specific decision-making situation. To fully appreciate the added value of implementing the hybrid screening methodology, a group of Air Force decision makers applied the hybrid methodology to a realistic weapon-systems project screening activity. Results indicate that decision support provided by the methodology could lead to substantial improvements in a weapon-systems portfolio value.     

Strategic decision support for the services industry

The graph model for conflict resolution and the associated decision support system GMCR II are presented as a comprehensive service tool that can provide strategic advice to leaders and managers, in industry, government and other organizations, who must ensure the success of their enterprises within an increasingly competitive environment on a local, national, or international level. In addition to furnishing an overview of the graph model and the design of GMCR II, this paper describes general situations in which advisors providing a decision support service may use this unique computerized technology. An international trade dispute is utilized to illustrate how GMCR II can be applied to study real-world interactive decision making systematically and effectively     

基于数据仓库的投资决策支持系统设计研究

针对目前实际工程中数据仓库与数据挖掘设计脱节的问题,提出了紧密结合数据挖掘的数据仓库一体化体系模型。根据该模型设计了一个基于一体化数据仓库的投资分析决策支持系统,并给出了该系统的软件架构和实现过程。该系统可对海量金融数据进行智能提取与分析,为投资决策者提供决策支持。分析和测试结果表明,该系统是稳定且高效的。