Analytic hierarchy process: It can work for group decision support systems

Most group problems are complex and unstructured and are difficult to find solutions, GDSS, systems for group decision making support, have more concentrated on the development of technological factor such as communication support, electronic meeting support, etc. And there have been relatively few researches about group problem modeling and group decision-aid. We cannot guarantee the value of GDSS just with the support in technological basis. The AHP has been suggested as an group problem modeling tool. In this paper authors applied AHP in real world group problems, investigated its value. and suggested the elements of GDSS software.     

A decision support system for Evidence Based Medicine

We present a decision support system to let medical doctors analyze important clinical data, like patients medical history, diagnosis, or therapy, in order to detect common patterns of knowledge useful in the diagnosis process. The underlying approach mainly exploits case-based reasoning (CBR), which is useful to extract knowledge from previously experienced cases. In particular, we used sequence data mining to detect common patterns in patients histories and to highlight the effects of medical practices, based on evidence.We also exploited data warehousing techniques, such OLAP queries to let medical doctor analyze diagnosis along several measures, and recent visual data integration approaches and tools to effectively support the complex task of integrating and reconciling data from different medical data sources. In addition, due to massive presence of textual information within the clinical records of many hospitals, text mining techniques have been devised. In particular, we performed lexical analysis of free text in order to extract discriminatory terms and to derive encoded information. Finally, the system provides user friendly mechanisms to manage the protection of confidential medical data.System validation has been performed, mainly focusing on usability issues, by running experiments based on a large database from a primary public hospital.     

An examination of decision-makers' utilization of decision support system output

A study was conducted of 18 decision support systems in major U.S. corporations in order to examine their methods of operation and the ways in which the DSS contribute to the decision making process. These DSS were studied with respect to organizational level of the decision maker, phases of the decision making process, interaction among decision makers using the DSS, requirement for and regularity of DSS use, impact on job tasks and performance, and perceived value of the DSS. Study results provide substantial support for generalized conceptualizations in the literature. Decision support is primarily for upper and/or middle management working in interaction. Use of the DSS is at the discretion of the decision maker and the majority of DSS users are highly satisfied with their systems.     

Knowledge engineering concepts for decision support system design and implementation

The design of computer-based systems that simulate expert human consulting by drawing on large amounts of task-specific knowledge has been a major research activity of applied artificial intelligence over the last ten years. Building decision support systems that incorporate aspects of this research is a promising new field. The purpose of this paper is to discuss concepts of “knowledge engineering” that are most relevant in designing and building knowledge-based decision support systems.     

Production decision support system for computerized manufacturing systems

The introduction of Computerized Manufacturing Systems (CMS) into the mid-volume manufacturing industry has been an important new step in the development of automated manufacturing. CMS's are computer-integrated systems which incorporate Direct Numerical Control (DNC) capabilities with automatic material handling to manufacture parts. Due to its complex nature, the task of production control in an CMS cannot rely on human effort alone. It is essential to develop a software package in the form of a Production Decision Support System (PDSS) to assist the production decision maker in operating this complex manufacturing facility.     

A GIS-based multicriteria spatial decision support system for planning urban infrastructures

The planning of urban infrastructures has important spatial implications. The evaluation of alternative courses of action in this setting requires the explicit consideration of multiple criteria as they have important social, economic, and environmental effects. This paper presents a decision support system aimed at offering the users (e.g., government or municipal agencies) a flexible and user-friendly environment to provide decision aid in urban infrastructure planning. The visualization of available alternatives on maps provides a value-added for decision support processes in urban infrastructure evaluation problems. The development of this system has been motivated by a real world urban case study.     

Retrieval for decision support resources by structured models

The number of available DSS within organizational Intranets will soon require efficient retrieval functionality. While Web retrieval technology performs excellent on documents, computational services need approaches that capture the semantics of resources. We present a retrieval approach that uses a variant of Structured Modeling to represent resources. It allows the use of similarity of models for retrieval. Exact similarity computation is shown to be NP-hard, and efficient heuristics for similarity computation and filter algorithms are introduced. We report an evaluation in a classroom experiment and give computational results on a benchmark library.     

Database inferencing for decision support

The use of databases for management decision support requires flexible inferencing mechanisms. The use of logic programming for these purposes is explored. To be flexible, however, this requires the logical decomposition of the database into elementary predicates.     

Web服务组合方法综述

Web服务组合通过重用已有的Web服务满足用户高质量的应用需求,是面向服务架构研究领域的热点问题。该文对当前Web服务组合的研究现状进行了综述,分析了WSC的概念和实现框架。根据研究侧重点及其依赖的技术基础,将WSC方法归为两大类别——基于工作流、状态演算和进程代数模型描述的过程驱动的组合方法和基于语义描述的自动服务组合方法。对WSC的评价模型及其研究与应用中所面临的挑战进行了论述。     

Change, attitude to change, and decision support system success

It is generally recognized that user attitudes are important determinants of success in the implementation of information systems. Among these, users' attitudes towards the changes introduced by a system are thought to be especially important in the implementation of MIS and OR/MS applications. Based on the results of a survey of 32 decision support systems (DSS), this study investigates the relationships between the extent of changes caused by the systems to users' work environments, the users' attitudes towards work related changes, and four measures of DSS success. The results indicate that DSS users are more satisfied with, and use more extensively, those DSS that bring change than DSS that do not result in substantial changes to their work environment. Implications for the measurement of DSS success are also discussed.     

一种基于BPEL的通用安全控制模块设计方法

随着面向服务架构(SOA)的提出,软件系统的整合与开发速度将越来越快,但软件系统的安全机制却是每次开发时都需要重新建立,并且随着软件系统日益增多,安全机制的复杂程度将不断提升。提出一种基于商业流程执行语言(BPEL)的通用安全控制模块设计方法,以减少相应的权限开发与管理工作,同时还以制造业企业资源计划系统（ERP）与电子商务系统账户整合为例说明权限模块的运行机制。     

基于SOA软件架构的数据集成方法

根据数据的自治性和语义复杂性以及跨平台多样性等特点,并结合数字化业务平台的应用和需求,提出一种基于面向服务的体系结构(SOA)的数据集成方法。它是基于JBI规范,通过加入了四个服务模块解决了语义、多消息以及自治性等问题。最后结合SOA的相关技术和系统框架,并对其进行了实现。     

Decision support for manufacturing management

Historically, information systems have been used to improve efficiency through such means as clerical automation, inventory status reporting and transactional processing systems. Today, however, to reduce costs, increase return on investments, and achieve competitive advantage, businesses need to have information systems that support managerial decision-making and result in improved effectiveness. To meet this requirement, new approaches are needed in order to define the right problem and work the problem right. By using such techniques as critical success factor analysis followed by a top down system development approach, developing systems through prototyping and using end-user oriented software, these needs can be met.This article describes several company experiences of using a management systems planning and development process. This process in one company presented an opportunity to test the feasibility of developing an alignment between business goals and events critical to the success of the business. Management believed that to succeed in the future they must be forward thinking in their identification and use of information systems to improve managerial effectiveness. Their questions were “What should we do?” and “How should we do it?” By applying these techniques they were able to achieve outstanding results in a very short period of time.     

A view of group decision making process and bivoting approach

Many characteristics of Group Decision Making (GDM) are different from those of individual decision. The literature dealing with the stages of GDM is rather scant. This paper presents a view about the stages of group decision processes, characterizing GDM as a dynamic process. We discuss particularly the aggregation stage of preferences and reports a bivoting approach' used in practising group decision support systems (GDSS). Finally, a concrete example is given to illustrate each stage of group decision process and tile 'bivoting approach' in consensus reaching stage.     

基于本体的服务网络平台及其构建方法

在基于语义关系的大规模Web服务组织结构：服务网络模型的基础上,构建了服务网络系统平台。提供了对Web服务和服务关系的描述,使得Web服务的自动化处理成为可能。设计了可动态优化的服务网络系统内核,实现了服务网络的数据存储、网络优化和关系挖掘;设计和实现了系统创建维护工具、系统服务增长工具、可视化工具等一整套核心工具;给出了服务关系构成建的基本方法和流程,完善了网络结构。最后,一些基于服务网络的应用证明了该系统的有效性和广泛适用性。     

基于SOA和Web服务的造船虚拟企业应用集成

根据船舶行业特点,提出以船厂为中心的造船虚拟企业模式。介绍面向服务的体系结构(SOA)和Web服务技术,构造使用这两种技术实现造船虚拟企业的应用集成框架,描述了该框架的实施步骤,并演示了Web服务的开发和部署。     

A fuzzy decision support system for digital camera selection based on user preferences

Mobile phones have been the most rapidly spreading development in the field of communication and information technologies over the past decades. Nowadays, digital cameras have taken their place. The wide product range in the market, each with numerous heterogeneous technical attributes, complicates the selection of the most convenient camera for end-users. The aim of this work is to provide end-users with a decision support framework for selecting the best digital camera according to their preferences. End-users and photography experts use subjective assessments when determining their requirements and making their evaluations. The proposed decision support tool is built on the basis of fuzzy set theory. The imprecision of the subjective assessments are transformed to fuzzy triangular numbers. The fuzzy analytic hierarchy process (FAHP) and fuzzy compromise programming methodologies are applied in order to determine the relative weights of sub-criteria and criteria and to rank the digital camera alternatives, respectively.     

一种增强Web Services的服务质量和性能的方法

为了更好地把握股票价格的波动,应用了在处理序列数据输入输出具有优越性的Elman 递归神经网络建立股市预测模型,并用两支股票进行了检测,检测结果说明人工神经网络应用于中国股票市场的预测是可行和有效的,有着良好的前景。     

供应链管理环境下企业营销管理决策支持系统的研究

企业实施供应链管理对营销管理决策提出了新的要求,文章在分析了供应链管理环境下企业营销管理决策的目标和功能需求的基础上,重点介绍了一种建立在数据仓库、联机分析处理、数据挖掘技术基础上的营销管理决策支持系统,并给出了系统结构和功能模型。     

Ontological map of service oriented architecture for shared services management

Service oriented architecture (SOA) and shared services (SS) have been widely studied in the information technology literature. However, there is a lack of tools for shared services management (SSM) to apply SOA. This paper proposes an ontological map for SSM to apply SOA. This mapping approach, based on the well-known Zachman framework of information architecture, specifies the ontological perspective of SOA for SSM. The ontological map semantically links all aspects of SOA for SSM. Through a case study, a design artifact of computerized ontological map of SOA demonstrates the usability of the artifact for SSM.