Abstract
Travel demand prediction plays a scientific guidance role in tourism industry planning and future development. In this paper, the rough set theory is applied to analyze and predict the tourism of Tangshan City in the future based on the sample data of the quantity of tourists of Tangshan City from 2001 to 2010 and the growth range of quantity of tourists was obtained. The result shows that the tourism market of Tangshan City has both a huge development potential and a bright development prospect. © 2011 Springer-Verlag.
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Li, J., Feng, L., & Zhou, G. (2011). Travel demand prediction in Tangshan City of China based on rough set. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7030 LNCS, pp. 440–446). https://doi.org/10.1007/978-3-642-25255-6_56
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