本文以数据仓库为基础，与目前流行的联机分析处理、数据挖掘等技术相结合，提出了基于此的决策支持系统的设计。
Take data warehouse as foundation, with the aid of on Line Analytical Processing and data Mining technology, the composition and design of enterprise Decision Support System are put forward.
综合应用数据仓库与联机分析处理技术开发了外资管理决策支持系统。
By the use of data warehouse and Online Analytical Processing (OLAP), a decision support system for foreign investment management was developed.
数据仓库和数据挖掘技术是决策支持系统的关键因素。
Data warehouse and data mining techniques are key factors of decision supporting system.
针对关系型数据库在联机分析方面的不足，利用数据仓库的相关技术和开发方法，提出了决策支持系统开发的一种新途径。
A new approach to decision support system is put forward based on related techniques and development methods of data warehouse for the shortage of relational database in the aspect of OLAP.
与采用单技术的预测系统相比，本决策支持系统的可信度也有了较大的提高。
Compared with the systems which adopt the single technique, the system also makes the decision support confidence enhanced greatly.
以数据仓库为基础的在线联机分析处理(OLAP)技术是决策支持系统(DSS)中一种新的决策分析方法。
Online analysis process (OLAP) technology based on data warehouse is a new decision-making analysis method in decision support system (DSS).
阐述了CIMS的体系结构的基本框架与集成技术在防洪及水资源调度决策支持系统中的研究与应用。
The paper expounds the study and application of basic framework based on CIMS system structure and integrated technique in flood control and decision support system of water resources scheduling.
基于生长模型的作物管理决策支持系统是数字化农作技术研究的重要内容。
Growth model-based decision support system is one of the important parts of digital farming techniques.
决策支持系统及其相关技术的研究是当前信息领域的热门课题。
Intelligent decision support system and its correlative technology is a new research field in current information field.
DM技术与OLAP技术是电力营销决策支持系统中的关键数据分析技术，二者有机结合构成的多维数据挖掘模型能提高数据分析的效果和性能。
The DM and OLAP are the critical techniques of data analysis, the multi dimensional data mining model combining both techniques can enhance the performance and effects of data analysis.
决策支持系统是综合利用各种数据、信息、知识、人工智能和模型技术，辅助高级决策解决半结构化或非结构化决策问题。
Using data, information, knowledge, artificial intelligence and modeling technique, Decision-making Supporting System (DSS) assist resolving semi-structure or none-structure decision problems.
本文全面论述了这一决策支持系统的组成、功能和关键技术。
The overall sketch of the decision support system, function description and logic flow chart are given.
介绍了一种企业智能计划决策支持系统的设计方法与实现技术。
A design method and realization technique of the supporting system for the intellectual plan decision making of enterprises are introduced.
综合应用数据仓库技术与联机分析处理技术开发了外资管理决策支持系统。
With Data Warehouse and Online Analytical Processing (OLAP), a Decision Support System for Foreign Investment Management is developed.
数据挖掘工具将为基于数据仓库的决策支持系统开发提供良好的技术支持，以发现数据仓库中潜在的知识。
Data mining provides good technology support for data warehouse-based decision support system, and data mining tools can directly mining in data warehouse for discovering potential knowledge.
本文介绍电力营销决策支持系统（EPMDSS）中模型库系统的设计思想与实现技术。
This paper introduces the designing idea and implementation technique of model base system in Electric Power Marketing Decision Support System (EPMDSS).
决策支持系统等技术的应用将在国际海洋划界的管理方面提供强有力的支持，并成为重要的决策工具。
The application of GIS and decision-supporting system to the international maritime delimitation will provide strong support for the management and decision of the work.
高新技术产品认定与评价工作完全是一种半结构化问题，正适合于建立人机交互的决策支持系统（DSS）。
The identification and evaluation of high-tech products is a semi-structure problem, which is suitable for human-machine interactive Decision Support System (DSS) .
文章提供了一种跨部门电子政务工程中决策支持系统技术架构的设计，为决策支持系统在跨部门电子政务工程中的实现提供了一种方法。
This paper proposes one kind of technical architecture design for decision support system of the trans-departmental E_Government projects, and provides one method for the realization.
本文通过对数据仓库、数据挖掘技术和决策支持系统的研究，提出了基于数据挖掘的高校管理决策支持系统。
This paper puts forward a higher education decision support system (DSS) based on the research of data warehouse, data mining technique and decision support system.
根据决策支持系统理论，提出一个由综合服务器、保障决策台和态势仿真台构成的海军舰船技术保障决策支持系统架构。
A framework of navy warship technology support decision support system was introduced, and it was consisted of integrative server, support-deciding client and status simulating client.
本文在分析数字图书馆决策特点的基础上，提出了一个多专家系统集成式的基于数据挖掘和智能代理技术的智能决策支持系统框架。
The article discusses the Intelligent Decision Supporting system in Digital library which has multiple expert systems and is based on the Data mining and Agent technique.
并针对每种模式的结构和关键技术进行了论述，对指挥自动化群决策支持系统提供了理论指导。
Furthermore, frames and key technologies of each model have been discussed, which provide a theoretical guidance for the command and control GDSS.
分析了发电调度决策支持系统的系统模式，探讨了系统的解决方案和关键技术。
The pattern of the optimal generation scheduling decision-support system is analyzed, and the system solution and key techniques are discussed.
城市燃气输配智能决策系统是一种基于计算机企业内部网络和通信技术的协作型、多目标智能化决策支持系统。
An Intelligent Decision Support System for Urban Gas Transfers and Distribution Engineering has been developed, which is based on the Intranet and communication technology.
针对报业广告决策的特点，运用数据仓库技术和决策支持系统的思想开发出一套适应面广、灵活性高的智能决策支持系统。
An intelligent decision support system with good adaptability and flexibility for newspapering advertisement is developed by means of data warehouse technology and DSS.
但由于理论框架和原有技术平台的不足，决策支持系统目前面临“孤岛现象”严重、结构僵硬、模块化差、生命周期短等问题。
However, its deficiency in theoretical frame and original technical flat leads to many problems such as serious "information island", stiff structure, bad modularization, short life circle, and so on.
本文首先阐述建立空中交通管制辅助决策支持系统的必要性，讨论决策支持系统技术，建立空中交通辅助决策支持系统结构框架。
In this paper, we expatiate on essentiality of establishing air traffic assistant decision support system. The system was established in according to the theory of decision support system (DSS).
从系统集成的角度分析了交通规划组群决策支持系统(GDSS)的软硬件集成技术，提出了交通规划组群决策支持系统的网络拓扑结构及系统集成模式。
This paper analyses the integrated technology of hardware and software for Group Decision Support system, and puts forward the topography structure and system integrated model on GDSS.
数据仓库技术、OLAP 技术和数据挖掘技术对决策支持系统的有力支持使其成为数据库技术领域一个研究的热点和重点。
There have been growing interests in the techniques of date warehouse, OLAP and data mining since they strongly support the decision-making.
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