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

Content Provider	IEEE Xplore Digital Library
Author	Omran, A. Saleh, M. Agami, N. El-Shishiny, H.
Copyright Year	2010
Description	Author affiliation: Advanced Technology and Center for Advanced Studies, IBM Cairo Technology Development Center (El-Shishiny, H.) \|\| Computer Science Department, Faculty of Computers and Information, Fayoum University (Omran, A.) \|\| Decision Support and Operation Research Department, Faculty of Computers and Information, Cairo University (Saleh, M.; Agami, N.)
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.
Starting Page	935
Ending Page	940
File Size	163963
Page Count	6
File Format	PDF
ISBN	9781424481347
e-ISBN	9781424481361
DOI	10.1109/ISDA.2010.5687067
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Industries Futures Studies Trend Impact Analysis Visualization RT-Delphi Tourism Industry Knowledge acquisition Ontologies Intelligent DSS Steady-state Forecasting
Content Type	Text
Resource Type	Article

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