• DocumentCode
    638323
  • Title

    Integration approach of multicriteria analysis to OLAP systems: Multidimensional model

  • Author

    Boutkhoum, Omar ; Hanine, Mohamed ; Tikniouine, Abdessadek ; Agouti, Tarik

  • Author_Institution
    Lab. of Inf. Syst. Eng., Cadi Ayyad Univ., Marrakesh, Morocco
  • fYear
    2013
  • fDate
    27-30 May 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    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 multi-criteria analysis. In order to validate our contribution, we present the results of experiments showing the efficiency and performance of our approach.
  • Keywords
    data mining; decision support systems; operations research; OLAP systems; data flow analysis; data hybrid model; decisions support systems; multicriteria analysis integration approach; multidimensional model; on line analytical processing tools; Abstracts; Analytical models; Data models; Databases; Educational institutions; Information systems; Decision Support; Decisional information system; OLAP; datawarehouse; multicriteria analysis (MCA); multidimensional analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Systems and Applications (AICCSA), 2013 ACS International Conference on
  • Conference_Location
    Ifrane
  • ISSN
    2161-5322
  • Type

    conf

  • DOI
    10.1109/AICCSA.2013.6616464
  • Filename
    6616464