|本期目录/Table of Contents|

[1]刘黎志,陈传波.基于指标体系的决策支持模型研究[J].武汉工程大学学报,2008,(01):91-94.
 LIU Li zhi,CHEN Chuan bo.The research of decision support model based on indicator system[J].Journal of Wuhan Institute of Technology,2008,(01):91-94.
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基于指标体系的决策支持模型研究(/HTML)
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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
期数:
2008年01期
页码:
91-94
栏目:
机电与信息工程
出版日期:
2008-01-30

文章信息/Info

Title:
The research of decision support model based on indicator system
文章编号:
10044736(2008)01009104
作者:
刘黎志1陈传波2
1.武汉工程大学计算机科学与工程学院,湖北 武汉 430074;
2.华中科技大学计算机科学与技术学院,湖北 武汉 430074
Author(s):
LIU Lizhi1 CHEN Chuanbo2
1. School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan 430074, China;
2. College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
关键词:
指标体系实用指标数据仓库决策支持模型
Keywords:
indicator system practical indicator data warehouse decision support model
分类号:
TP 311
DOI:
-
文献标志码:
A
摘要:
讨论了构成指标体系的关系结构,在说明指标、分组、阶码的基础上,重点描述了实用指标的形成过程.说明了指标体系多维数据集中的共享维度和事实数据表,最后对基于指标体系的决策支持模型作了分析.利用实用指标、时间、地区维度构成的多维数据集,可以方便的存储各种指标数据,并可以方便的进行时间序列数据抽取,从而为决策提供直观、有效的数据.由于指标是一种抽象的统计数据,所以基于指标体系的决策支持模型可以广泛的用于政府各职能部门及银行、电力等行业.
Abstract:
In this paper, by explaining what are indicator, group and scale, the authors firstly discuss the relational structure of the indicator system and combining process of practical indicator, then we explain the shared dimension and fact data table within indicator system multidimension dataset. Finally the analysis of decision support model based on indicator system is given. Proved by practices, the multidataset constructed by practical indicator, time and region can store kinds of indicator data and extract time serial data easily, so it can provide intuition and effective data for decision. Because indicator is an abstract statistical data, so the decision support model based on indicator system can be widely applied in government department and bank, power industry.

参考文献/References:

[1]SolEuNet. Data Mining and Decision Support for Business Competitiveness: A European Virtual Enterprise. EU cofounded project IST199911495[EB/OL].?
[2]冉春玉, 谷川. 税务决策支持系统数据仓库的设计[J]. 计算机应用, 2005, (25):158159.
[3]Kantardzic M. Data Mining: Methods, Tools and Techniques[M]. USA:IEEE Press and John Wiley,2002. 380.
[4]邓正宏,郑玉山,康慕宁. 基于辅助决策支持的虚拟经济性运行系统的设计[J]. 计算机工程, 2005, 31(17):180181.
[5]李宝仁. 经济预测理论、方法及应用[M]. 北京:经济管理出版社,2005.2528.

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备注/Memo

备注/Memo:
收稿日期:20061024
基金项目:科学技术部科技型中小企业创新基金项目(03C26214201044).
作者简介:刘黎志(1973),男,湖北武汉人,讲师,硕士.
研究方向:基于网络的计算机应用、数据仓库及数据挖掘等.
更新日期/Last Update: