A Fuzzy Decision Support System for irrigation and water conservation in agriculture

Since agriculture is the major water consumer, web services have been developed to provide the farmers with considerate irrigation suggestions. This study improves an existing irrigation web service, based on the IRRINET model, by describing a protocol for the field implementation of a fully automated irrigation system. We demonstrate a Fuzzy Decision Support System to improve the irrigation, given the information on the crop and site characteristics. It combines a predictive model of soil moisture and an inference system computing the most appropriate irrigation action to keep this above a prescribed “safe” level. Three crops were used for testing the system: corn, kiwi, and potato. This Fuzzy Decision Support System (FDSS) favourably compared with an existing agricultural model and data-base (IRRINET). The sensitivity of the FDSS was tested with random rainfall and also in this extended case the water saving was confirmed.     

Design of a Web-Based Decision Support System for Service Portfolios in Heterogeneous Radio Access Network Environments

Newly emerging radio access technologies have produced a novel heterogeneous network environment. Wireless service operators should build the best service portfolio strategy for each user by focusing on the co-existence of multiple access networks and complex service combinations, while maximizing the overall network utilization. Web-based Decision Support System (web-based DSS) is one of the best ways of making service portfolios available to every user in a multiple access network environment. Service designers, customer relationship managers, and network engineers can build the best match relationship between services and networks to enhance user utilization. In addition, the easily accessible web-based DSS in an optimal heterogeneous network operation framework provides opportunities for designing new services. The network load and financial effect of newly designed services could also be analyzed and reshaped easily by testing the DSS functionality. Various mathematical tools have been developed for DSS to integrate different network domains. To demonstrate its applicability to the integration of network domains, we tested various service scenarios in a heterogeneous network environment and evaluated the versatile functions of web-based DSS.     

A Decision Support System for a small scale industry in a developing country

This paper describes the design and development of a Decision Support System (DSS) for a small scale manufacturing company in a developing country. The DSS provides a solution for an integrated problem of planning, shopfloor scheduling, and control. The DSS system accepts the demand data with priorities, then uses the information from the imbedded data base system regarding product structure, production process, available resources with the status, and inventory. This in turn is used by the imbedded models to solve planning and scheduling problems, and provide solutions containing job order release, shopfloor scheduling and material requirement report. What if analysis feature provided by DSS allows the managers to incorporate their knowledge and experience to improve the quality of the solution by evaluating different scenarios presented by the manager. The laboratory equipment manufactured by the company is made to order. Product information regarding twenty-two high demand items is incorporated into the data base system, and the scheduling problem is solved for these items. The jobshop is a mixed shop problem containing a flow shop, an open shop, and a flow shop. A heuristic method used for solving this problem is presented.     

基于数据仓库三层架构的决策支持系统应用研究

数据仓库与联机分析处理(OLAP)技术已成为企业决策支持系统的关键.探讨了基于数据源、数据仓库及OLAP应用三层架构的决策支持系统的体系结构,并结合具体实例给出了系统设计和实现过程.     

Meta web service: building web-based open decision support system based on web services

Web services are currently one of the trends in network-based business services, which intuitively will be applied to build a semantic web-based decision support system (DSS). Since web services are self-contained, modular business process applications, based on open standards, enable integration models for facilitating program-to-program interactions. Decision modules in a semantic web-based DSS can be viewed as a web service. However, according to the current features, web services know only about themselves, they are neither autonomous, nor are they designed to use ontologies; they are passive until invoked, and they do not provide for composing functionalities. These lead to the motivation on building a sophisticated web service to contain these features and to utilize web services on behalf of the user. This paper aims to propose a new concept of Meta Web Service, a web service-based DSS. The meta web service understands the user's problem statement with ontology, performs web service discovery, web service composition, and automatically generates codes for composite web service execution. Case-based reasoning is applied to quickly find past histories of successful service compositions. A prototype of research web service has been developed to show the feasibility of the proposed idea.     

A manufacturing decision support system for flamecutting

The design of a Manufacturing Decision Support System (MDSS) for the control of a flamecutting operation is discussed. The MDSS incorporates the overall economics of a continuing inventory. It also takes into account the use of left-over offcuts or partial plates, and the possibility of producing as a flow shop instead of on a job shop cut-to-order basis. Some research results are available that aid the construction of such a DSS; these are mostly in the areas of two-dimensional parts' layout and torch path sequencing. The proposed DSS constructs parts' nests, generates cutting sequences, directs the use of trim margins, and updates and outputs the economics of the whole cutting process. Its major strength is its potential use at the shop floor level, using relatively inexpensive computing power to control cutting torches that are usually driven by far more expensive systems that take much longer to determine layouts and cutting sequences.     

Internet下智能协同DSS模型实现技术

本文在介绍了作者提出的基于Ｉｎｔｅｒｎｅｔ环境下智能协同决策支持系统模型后,详细描述了该模型的原型系统－贫血病诊断系统的实现技术,通过它反映了该模型的应用前景。文中还对智能决策代理编制、基于事例的推理等方面进行了描述。     

决策过程与决策支持系统关系的新视角

该文以新的视角来研究决策过程和决策支持系统。首先,以全新的观点阐释了决策过程和决策支持系统的结构,并绘制出相应的结构图;其次,以此为基础,绘制出了二者之间的层次结构模型图,揭示了决策支持系统和决策过程的内在联系。     

A software architecture and framework for Web-based distributed Decision Support Systems

This paper presents an integrated method to help design and implement a Web-based Decision Support Systems (DSS) in a distributed environment. First, a layered software architecture is presented to assist in the design of a Web-based DSS. The layered software architecture can provide a formal and hierarchical view of the Web-based DSS at the design stage. Next, a component-based framework is presented to implement the Web-based DSS in a distributed environment. Finally, an instance of the layered software architecture and 3CoFramework applied to the Web-based National Agricultural Decision Support System (NADSS) is presented.     

基于网格的开放式决策支持系统模型

网格技术的出现和飞跃对决策支持系统(DSS)的发展将产生巨大影响。本文分析了当前DSS所存在的不足，介绍了网格的基本概念及网格技术对DSS的影响。最后提出了一个基本的开放DSS模型及其实现。     

A decision support system for personnel scheduling in a manufacturing environment

A Decision Support System (DSS) is developed to support managers in the task of scheduling labor in the area of manufacturing. The DSS is designed to generate labor requirements by worker category and work center based on master production schedules. It is a PC-based, menu-driven program that generates a capacity plan based on data supplied by the user of the system.     

A decision support system for fuzzy multi-objective multi-period sustainable project selection

In this paper, a Decision Support System (DSS) is developed to solve sustainable Multi-Objective Project Selection problem with Multi-Period Planning Horizon (MOPS-MPPH). First, a TOPSIS based fuzzy goal programming (FGP) is proposed which considered uncertain DM preferences on priority of achievement level of fuzzy goals. The FGP essentially considers economic factors like cost, profit, and budget. The output of FGP and other affecting factors (i.e. social and environmental effects, risk of investment, strategic alliance, and organizational readiness) are treated as inputs of a fuzzy rule based system to estimate fitness value of an investment. Properties of the proposed DSS are discussed. It also is compared with an existing procedure on historical data of a financial and credit institute.     

供水调度中实现决策支持的方法研究

针对供水调度系统在决策支持方面的不足,提出了利用SQL Server Analysis Services在OLAP及数据挖掘方面的技术,建立数据仓库、OLAP和数据挖掘3者相结合的决策支持系统的方案。讨论了基于Analysis Services实现供水调度决策支持系统的技术。     

基于电子商务的个性化推荐系统研究

在电子商务环境中,实现个性化服务,理解用户兴趣就成了提供个性化服务的关键任务。因此,建立用户兴趣模型和构建推荐库就成为个性化推荐系统的实现基础。论文通过网络爬虫获取到相关的网页,进行预处理后,采用SVM（支持向量机）分类文档建立推荐库。通过对用户访问路径、搜索关键字等分析,获取用户兴趣,采用向量空间模型表示用户兴趣,利用机器学习构建用户兴趣模型。在推荐库和用户兴趣模型的基础上,加入推荐引擎,实现了基于电子商务的个性化推荐系统。     

Service-oriented intelligent group decision support system: Application in transportation management

In today’s ever changing consumer driven market economy, it is imperative for providers to respond expeditiously to the changes demanded by the customer. This phenomenon is no different in the transportation sector in which a service-oriented Group Decision Support System (GDSS) provides an important role in transportation enterprise to effectively manage and rapidly respond to the varying needs of the customer. In this paper, we explore the integration problem of service-oriented system and intelligence technology through the use of a GDSS. Initially, we analyze a service-oriented architecture and then, propose the design architecture of a service-oriented GDSS. Next, we put forward a general framework that integrates the intelligent techniques as a component into the architecture of service oriented GDSS. In addition, we illustrate how Artificial Intelligence techniques can resolve the conflicts of distributed group decisions. The paper is concluded by providing a number of applications in the railway management system that demonstrates the benefits of the utilization of a service oriented intelligent GDSS.     

烟草业务联机分析处理系统的实现

数据库技术的广泛应用以及数据仓库技术的出现为决策支持系统提供了新的发展方向。联机分析(onlineanalyticalprocessing,简称OLAP)正是在数据仓库的基础上发展起来的一门崭新的决策技术。文章结合某市烟草决策支持系统,介绍了基于联机分析处理技术的烟草数据分析系统的设计思路与实现方法,并对其中关键环节进行了较为详细的探讨与阐述,为联机分析处理技术的实用化提供了可借鉴的成功经验。     

一种基于Intranet和多Agent系统的决策支持系统框架

基于Intranet的决策支持系统的研究不仅具有重大的理论价值,而且具有很高的应用价值。该文通过对多A-gent系统与传统决策支持系统的比较和结合,把Agent方法引入到基于Intranet的决策支持系统的研究中,提出了一种新型的决策支持系统实现框架。该框架充分利用了Agent自主运行、主动性、持续性和问题求解能力以及多Agent系统的分布式和合作性等特点,对基于Intranet决策支持系统结构的研究产生了深刻的影响。该文给出了一个基于该框架的原型系统实现,通过仿真可以看出该实现框架非常适合于企业Intranet分布式开放环境。     

保险业务联机分析处理系统的实现

数据库技术的广泛应用以及数据仓库技术的出现为决策支持系统提供了新的发展方向.联机 分析处理(online analytical processing,简称OLAP)正是在数据仓库的基础上发展起来的 一门崭新的决策支持技术.在给出用于保险业务的中间数据库的设计、多维分析模型的实现 和OLAP分析系统的模块结构框架之后,具体讲述了OLAP功能设置子系统以及分析子系统的实 现,全面满足E.F.Codd提出的OLAP的12条准则,并在实际应用的基础上作出了相应的提高.