船舶避碰智能决策支持系统研究

建立了一个基于RBR(Case-Based Reasoning,基于案例推理)和CBR(Rule-Based Reasoning,基于规则推理)结合的船舶避碰决策支持模型,将这个模型引入到船舶避碰智能决策支持系统IDSSVCA(Intelligent Decision Support System for Vessel...     

基于数据挖掘和范例推理的智能分析决策支持技术综述

介绍了数据挖掘中的一些关键技术、人工智能基于范例推理、决策支持的主要理论及其发展,提出了范例推理、类比学习、规则推理之间的联系,详细探讨了数据挖掘技术、基于范例推理和决策支持理论集成的问题,最后对上述技术在预测领域的综合应用前景作了探讨。     

谈判支持系统（NSS）研究

冲突决策是一类复杂的多人决策问题，它涉及到许多非结构化因素。本文对于复杂冲突问题分析的计算机系统－谈判支持系统进行了研究，分析了谈判支持系统的需求，工作机制和技术实现等问题。     

多人决策支持系统研究评述

对多人决策支持系统的研究状况进行回顾,总结了ＧＤＳＳ理论和实验研究工作及取得的成果,指出了ＧＤＳＳ研究中存在的问题和研究方向。ＤＤＳＳ和ＯＤＳＳ目前仍处于概念开发阶段。最后探讨了多人决策支持系统的发展前景。     

The Decision Value of Management Support Systems for Strategic Hospital Management

Several studies have shown that selected management support systems (MSS) favorably impact decision making. Others have theorized that additional benefits could be achieved by consolidating the separate system functions to form an integrated management support system. There have been few, if any, reported empirical tests of this theory. This article offers empirical evidence on integrated MSS effectiveness. It points to the general literature on MSS effects, notes an empirical gap in this literature, and reports the results of experiments that assess the influences of a specific integrated MSS on the process and outcomes of strategic hospital decision making.     

智能决策支持系统(IDSS)研究进展

在认真研究IDSS发展历史的基础上，从基于人工智能的IDSS、基于数据仓库的IDSS和IDSS的统一表示三个方面对IDSS进行分析总结，对基于人工智能的IDSS，又从专家系统、机器学习和Agent三个方面对其进行研究．认为当前IDSS研究的重点仍然是智能部件的设计与实现、各个部件之间的有效接口和系统综合集成这几方面．结合当前数据仓库、Agent等多种新技术的出现，指出综合利用多种技术来构建集成式系统是IDSS未来发展的方向．     

基于MAS的智能决策支持系统研究

由于决策问题变得越来越复杂,规模越来越大,传统的IDSS面临着巨大的挑战。该文把Agent技术融于智能决策支持系统之中,提出了基于多Agent系统(MAS)技术的智能决策支持系统体系结构,并对决策Agent的结构模型进行了描述。     

基于机器学习的医疗决策支持系统综述

利用健康医疗领域的海量临床数据进行辅助医疗决策支持是智慧医疗的核心技术和必然的发展趋势。医疗决策支持主要包括疾病风险预测与疾病智能诊断两方面，以临床积累和实时获取的多种数据来源为基础，通过多种机器学习算法实现对患者疾病类型的分类或者对患病风险的预测。从医疗决策支持的概念和方法框架出发，按照不同疾病种类，总结了当前采用的机器学习诊断和预测方法，着重介绍这些方法的特点和区别，并对存在的挑战和未来发展进行分析。     

Artificial Intelligence and Environmental Decision Support Systems

An effective protection of our environment is largely dependent on the quality of the available information used to make an appropriate decision. Problems arise when the quantities of available information are huge and nonuniform (i.e., coming from many different disciplines or sources) and their quality could not be stated in advance. Another associated issue is the dynamical nature of the problem. Computers are central in contemporary environmental protection in tasks such as monitoring, data analysis, communication, information storage and retrieval, so it has been natural to try to integrate and enhance all these tasks with Artificial Intelligence knowledge-based techniques. This paper presents an overview of the impact of Artificial Intelligence techniques on the definition and development of Environmental Decision Support Systems (EDSS) during the last fifteen years. The review highlights the desirable features that an EDSS must show. The paper concludes with a selection of successful applications to a wide range of environmental problems.     

Factors influencing the Development and Adoption of Knowledge Based Decision Support Systems for Small,Owner-Operated Rural Business

This paper provides an analysis of existing literature and practical problems associated with the adoption of a developed knowledge-based decision support system (KBDSS) within small rural businesses. The rural small businesses selected for this study were individual farms within the Australian dairy industry and the developed KBDSS was called DairyPro. The object was to determine the factors that could help with future KBDSS development and improve adoption rates. These factors were tested against DairyPro to determine their effectiveness. This analysis indicates that system developers need to have a good working knowledge of the target industry and to understand the types of decisions that are made by managers in order to develop systems that will be used. A review of the literature also suggests that adoption rates can be influenced by cultural, political, educational and age factors as well as individual characteristics of information technology itself. Small business managers needed more ownership in the process of KBDSS development. The author suggests that the factors affecting KBDSS adoption by dairy farmers can be equally applicable to other small, owner-operated rural businesses. This approach advocates the use of domain experts to provide estimates of expected production levels rather than that of the traditional approach of using the results from mathematical or simulation models to make these estimates.     

基于高速公路建设决策支持系统的研究与开发

在高速公路建设过程中,由于路线选择的限制,会遇到条件恶劣的路段,增加了高速公路施工的难度,也给日后行车带来了安全上的隐患。如何选择正确的施工方式是保障高速公路建设质量的重要措施之一。结合当前我国高速公路建设的现状,针对现行高速公路复杂问题路段施工方式选择上没有科学有效决策辅助的问题,依据决策支持系统的相关理论,构建一个高速公路建设决策支持系统,对系统的开发目标、功能、结构和模块设计进行了相关研究。     

基于CAS理论的决策支持系统研究

复杂适应系统理论的提出对于人们认识、理解、控制、管理复杂系统提供了新的思路。针对目前决策支持系统的分布式群体决策的发展趋势,文中提出一种基于自适应决策主体的决策支持系统模型,用于大型复杂决策系统的问题求解。给出了自适应决策主体的定义,并对其自适应行为作了描述。自适应决策主体在决策环境中不断适应的结果表现出全局性的突现行为,最终得到复杂决策问题的求解结果。     

基于内联网的决策支持系统及其应用研究

本文提出了一种新的基于内联网的决策支持系统框架结构,通过EDUDSS原型系统说明了基于内联网的决策支持系统的实现过程,并揭示了其基本特征,证明了这种框架结构的合理性和实用性。     

基于案例推理的供应商选择决策支持系统研究

在介绍了基于案例推理方法的基本原理基础之上,分析了基于案例推理技术的供应商选择决策支持系统的工作原理、框架结构及功能;重点论述了基于案例推理的供应商选择决策支持系统中的一些关键步骤,并结合实例给出了基于案例推理的供应商选择与评价方法,用来验证基于案例推理技术在供应商选择决策支持系统中应用的可行性和有效性,为企业供应商选择决策提供了一个系统模型。     

On the Development of New Forms of Organisational Decision Support Systems

Decision making has been a primary interest of OR/MS, and management scientists have been at the forefront of developments. But the rate of inplementation has not been high, compared to the application of general PC-based decision support tools. Where there has been some recent success is in the area of judgmental modelling. Examples of exploitation on business problems have been reported and these individual cases are extremely valuable in providing insights into the organisational contexts in which the problems are embedded. However most of them are applications on very simple problems and no real implementation is reported. This paper attempts to overcome this deficiency by looking at a much richer organisational environment and considers two largely unexplored aspects of the decision process, namely its longitudinal nature and the group dimension. In this paper we present and discuss the results of three case studies which look into the use of models in a longitudinal decision process, and introduce the associated application of psychological profiling of the group of decision makers involved. All the cases are based in real organisational settings and are not laboratory experiments and therefore little statistical significance can be assigned to the results. But they do provide rich insights into the organisational complexity that surrounds many decisions which should help produce better management tools. The preliminary results suggest that we need to take such characteristics into account when building decision making models if we are to enhance the understanding of the decision without inhibiting behaviour.     

基于案例库的应急决策支持系统研究

文结合CBR和决策支持系统,构建了基于案例库的应急决策支持系统的体系结构,并对基于案例推理的一些关键技术做了初步的探讨。     

应急物资保障决策支持系统研究与设计

文中阐述了一种应急物资保障决策支持系统，介绍了系统的数据库系统、模型库系统、方法库系统和人机交互界面的设计，该系统能够进行应急物资信息查询、保障计划拟制和提供决策支持，为应急物资保障提供快速、有效的决策支持。     

Knowledge Discovery in Texts for Constructing Decision Support Systems

This paper presents a Text Mining approach for discovering knowledge in texts to later construct decision support systems. Text mining can take advantage of knowledge stored in textual documents, reducing the effort for knowledge acquisition. The approach consists in performing a mining process on concepts present in texts instead of working with words. The assumption is that concepts represent real world events and characteristics better than words, allowing the understanding and the explanation of the reasoning used in decision processes. The proposed approach extracts concepts expressed in natural phrases, and then analyzes their distributions and associations. Concepts distributions and associations are used to characterize classes or situations. After the discovery process, the obtained knowledge can be embedded in automated systems to classify elements or to suggest actions or solutions to problems. In this paper, experiments using the approach in a psychiatric domain are discussed. Concepts extracted from textual medical records represent patients' symptoms, signals and social/behavior characteristics. An automatic system was constructed with the approach: a classifier whose goal is to help physicians in disease diagnoses. Results from this system show that the approach is feasible for constructing decision support systems with satisfactory performance.     

基于知识库的决策支持系统关键技术研究

本文将区域循环经济的特点与知识库的原理相结合,研究了决策支持系统中指标的构建和模型选择关键问题,给出了决策模型知识、符号知识、案例知识的表示方法,以及规则和推理机制、知识库的实现原型,为实现指标体系的动态组合,决策方法的智能选择提供了有效的解决方案。