Integration approach of multicriteria analysis to OLAP systems: Multidimensional model

被引:0
作者
Boutkhoum, Omar [1 ]
Hanine, Mohamed [1 ]
Tikniouine, Abdessadek [1 ]
Agouti, Tarik [2 ]
机构
[1] Cadi Ayyad Univ, Fac Sci Semlalia, Lab Informat Syst Engn, Marrakech, Morocco
[2] Cadi Ayyad Univ, Fac Sci Semlalia, Team Telecommun & Network Comp, Marrakech, Morocco
来源
2013 ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2013年
关键词
OLAP; multidimensional analysis; datawarehouse; multicriteria analysis (MCA); Decision Support; Decisional information system;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The decisions support Systems are based on decision technologies enabling organizations to make better use of their data flow analysis by simplifying them. Indeed, OLAP (On Line Analytical Processing) tools such as decisional technology, offer the possibility of archiving, management, analysis and multidimensional modeling. However, they are limited in the consideration of the multicriteria and quality aspect of the decision problem. To overcome these limitations, we proposed in this research, a methodological approach for integrating multicriteria analysis in OLAP systems. Our aim of this approach is to create a hybrid model of data (OLAP/MCA), which will expand the capabilities of OLAP through the contribution of MCA as a tool for multicriteria analysis. In order to validate our contribution, we present the results of experiments showing the efficiency and performance of our approach.
引用
收藏
页数:4
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