数据仓库是构造现代决策支持系统最重要的技术基础之一，它能解决许多传统决策支持系统难以解决的难题。
Data Warehouse technology is an important foundation of contemporary DSS, a number of problems with traditional DSS can be solved by introducing DW technology.
首先分析了传统的决策支持系统的不足，在此基础上介绍了数据仓库的原理。
Based on analyzing shortage of the tradition decision support system firstly, the theory of data warehouse is introduced.
传统的决策支持系统以数据库作为数据管理的手段，而数据库系统主要用于事务处理，使得基于数据库的决策支持系统存在于事务处理环境之中。
The DSS is planted in the transaction-processing environment for the sake of its data management based on the traditional database that is mainly used for transaction processing.
传统的决策支持系统由于在数据资源和数据管理等方面存在着种种不足，已不能满足现代企业决策的需要。
The traditional decision support system can not meet the demand of modern enterprises because of its drawbacks in data resources and data management.
传统四库决策支持系统渐渐不能适应决策支持的需要。
The traditional DSS can not meet the need of business decision.
解释决策支持系统的概念以及如何它不同于传统的管理信息系统。
Explain the decision support system concept and how it differs from traditional management information systems.
为弥补传统数据库管理系统在智能决策支持系统应用中的缺陷，一种新的数据组织和管理技术——数据仓库技术应运而生。
To make up for the limitations of normal DBMSs to be used in IDSSs, a new technique-data warehouse is developed for the requirement of data organization and administration.
在传统层次聚类基础上，提出并实现了一种基于距离的增量式聚类算法，并应用于粮食智能决策支持系统中。
In this paper an incremental distance cluster arithmetic based on traditional level cluster arithmetic is proposed and realized.
在文中作者认为基于COM组件模型的新一代竞价决策支持系统将在开放性、可移植性、可扩展性上大大地超过传统的竞价决策支持系统。
In this paper the author figures that the new modal of decision support system which based on COM has an advantage in opening, replanting, and expansibility.
在文中作者认为基于COM组件模型的新一代竞价决策支持系统将在开放性、可移植性、可扩展性上大大地超过传统的竞价决策支持系统。
In this paper the author figures that the new modal of decision support system which based on COM has an advantage in opening, replanting, and expansibility.
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