传统决策支持系统 meaning in English
tdss traditional decision support system
Examples
- It is exigent to analyzed the shortage of traditional dss and find out the new way to direction the design and development . the analysis of the new conditions and traditional dss are performed in this paper . the disregard of the uncertain requirement of dss is considered the cause of problems in application
分析传统决策支持系统问题所在并用新的设计思想来指导决策支持系统设计，已经成为当前重要而迫切的课题，该课题对制造业企业竞争能力的提高具有极大的现实意义。 - Furthermore , it is referred that the dss based on km should plan the knowledge resource according to the business strategy . and then integrating with km methods , we supplement the functional frame of traditional dss . what is more , the support technology of the dss are discussed later , so are the problems of the implementing the dss based on km
并指出基于知识管理的决策支持系统首先的工作是对企业知识资源进行规划，然后结合知识管理的方法对传统决策支持系统的功能框架作出有意义的分析和补充设计工作，接着提出了一些支持实现系统功能框架的技术和实施系统时必须注意的问题。 - For example , we can not integrate more different sources , the interface between database and model base ca n ' t be designed easily , user interface is not very friendly , data analysis function is not enough etc . in recent years , there are some new data analysis technology such as data warehouse , on - line analytical process , data mining
例如多数据源无法很好的集成，模型库和数据库的接口难以实现，人机界面不够友好，数据分析功能不强等。数据仓库、联机分析处理、数据挖掘技术是近年来发展的新的数据管理和分析技术，将这些技术应用于决策支持系统中，可以有效地解决传统决策支持系统所面临的问题。 - By making use of the forecasting model , the human resource supply can be forecasted effectively , and it is showed that the model not only improves the decision - making ability of traditional decision - making system , but also avoids the subjectivity , and provides the scientific theory basis while forecasting the human resource supply
以此为基础，采用数据挖掘技术中的马尔科夫转移矩阵分析方法，结合人力资源管理理论，给出了人力资源供给预测模型，对人力资源供给进行预测。马尔科夫预测模型的应用，不仅提高了传统决策支持系统的决策能力，而且避免了人为预测人力资源供给的主观性，提供了人力资源供给预测科学的理论依据。 - To adapt to the need of the stock market , intelligent analysis become main means to change the bad situation of stock analysis . in the paper decision support system ( dss ) is introduced to stock analysis . the paper deeply researches the data mining and how to apply it in the stock analysis . first , the paper introduces the background , definition and architecture of traditional dss and the development of dss as well as data warehouse , data mining
论文首先分析介绍了决策支持系统产生的背景、定义和传统决策支持系统的体系结构及决策支持系统的发展概况,以及决策支持系统的相关技术数据仓库、数据挖掘等技术,阐明了建立决策支持系统和数据仓库系统为证券分析智能化服务的必要性和可行性。