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
Link To Document :
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