Multi Criteria Business Intelligence approach (MCBI) aims to enhancement Business Intelligence Applications (BIA) by applying Multi-Criteria Decision Making (MCDM). MCBI approach contributes to improve Business Intelligence Decision Support System (BIDSS) for BIA. Also MCBI approach presents a standard method to evaluate and select business decisions. The recommended business decision is the suitable and optimal choice to implement. The proposed model for MCBI approach that consists of five major components. The first component is business objectives, problem definition and main goals. The second component is a business heterogeneous data treatment which gathering from different resources and related with different areas. The third component is a unified business intelligence databases. The fourth component is a business intelligence processing. The fifth component is a evaluating the business decisions to select the suitable and optimal solution.


Multi-Criteria Business Intelligence (MCBI) Business Intelligence Applications (BIA) Multi-Criteria Decision making (MCDM) Business Intelligence Decision Support System (BIDSS) Decision Support System (DSS) Data Warehouse (DW) Spider Data Warehouse (SDW) Analytic Hierarchy Process (AHP) 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Turban, et al.: Decision Support Systems and Intelligent Systems. Prentice Hall (2005)Google Scholar
  2. 2.
    Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)zbMATHGoogle Scholar
  3. 3.
    Vercellis, C.: Business intelligence. John Wiley (2009)Google Scholar
  4. 4.
    Statistics of food security projects 2009, Economics Affairs Sector, Ministry of Agriculture and Land Reclamation (MOALR) (July 2010) Google Scholar
  5. 5.
    Sustainable Agriculture development: business plan from 2010 to 2017, MOALR (2010)Google Scholar
  6. 6.
    Reports and statistics about Egyptian population, CAPMAS (2011),
  7. 7.
    Han, Kamber: Data Mining: Concepts and Techniques. Kaufmann Publishers (2006)Google Scholar
  8. 8.
    Bovis project Online system (2011),
  9. 9.
    Peng, Y., et al.: An incident information management framework based on data integration, data mining, and MCDM. DSS Journal 51, 316–327 (2011)Google Scholar
  10. 10.
    El Dahshan, Lala: Data Warehouse based Statistical Mining. ICGST Journal 9 (2009)Google Scholar
  11. 11.
    Vincke, P.: Multi criteria Decision Aid. John Wiley and Sons, New York (1992)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Torky Sultan
    • 1
  • Ayman E. Khedr
    • 1
  • Mohamed M. R. Ali
    • 2
  1. 1.Faculty of Computers and InformationHelwan UniversityHelwanEgypt
  2. 2.Central Lab of Agriculture Expert Systems (CLAES)ARCGizaEgypt

Personalised recommendations