• DocumentCode
    2060350
  • Title

    An intelligent DSS to anticipate the impacts of wildcards on the tourism industry in Egypt

  • Author

    Omran, Ahmed ; Saleh, Mohamed ; Agami, Nedaa ; El-Shishiny, Hisham

  • Author_Institution
    Comput. Sci. Dept., Fayoum Univ., Al Fayyum, Egypt
  • fYear
    2010
  • fDate
    Nov. 29 2010-Dec. 1 2010
  • Firstpage
    935
  • Lastpage
    940
  • Abstract
    Research on the future of the Egyptian tourism industry has become the subject of countless studies and debates. Different wildcards have high impacts on this crucial industry and ultimately of the future of the Egyptian national income. This paper is about an Intelligent Decision Support System (DSS) that specifically focuses on assessing the impacts of wildcards on the future revenues of the Egyptian tourism industry. The developed DSS integrates both qualitative and quantitative DSS methods (called the enhanced Trend Impact Analysis and Real-Time Delphi Survey). Also, the developed analytical tool is used to generate various scenarios (not just a single forecast) by modifying the extrapolation of historical trends in view of tourism experts.
  • Keywords
    decision support systems; history; knowledge based systems; travel industry; Egyptian national income; Egyptian tourism industry; enhanced trend impact analysis; historical trend; intelligent DSS; intelligent decision support system; real-time Delphi survey; tourism expert; wildcard; Futures Studies; Intelligent DSS; RT-Delphi; Tourism Industry; Trend Impact Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
  • Conference_Location
    Cairo
  • Print_ISBN
    978-1-4244-8134-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2010.5687067
  • Filename
    5687067