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International Conference on Information and Management Engineering

ICCIC 2011: Innovative Computing and Information pp 259–266Cite as

Research on Econometric Model for Domestic Tourism Income Based on Rough Set

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 232))

Abstract

This paper introduces a method for choosing the important factors from many influence factors on domestic tourism income by means of attribute reduction in rough set theory. Its advantage consists in reducing the number of explanatory variables for ensuring the degree of freedom as well as weakening the multiconlinearity. By using this method an econometric model for domestic tourism income about the selected explanatory variables based on their samples from 1994 to 2008 is established. According to the test result, it is a appropriate prediction model.

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References

  1. Junyi, L., Yaofeng, M., Min, Y.: A literature review on demand forecasting methods in China’s Tourism. Commercial Research 3, 17–20 (2009)

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Author information

Authors and Affiliations

  1. College of Science, Wuhan Textile University, Wuhan, China

    He Xiaoya & Jie Zhiben

Authors
  1. He Xiaoya
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  2. Jie Zhiben
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Editor information

Editors and Affiliations

  1. Suzhou University, No. 1, Shizi Street, 215006, Suzhou City, China

    Minli Dai

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© 2011 Springer-Verlag Berlin Heidelberg

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Cite this paper

Xiaoya, H., Zhiben, J. (2011). Research on Econometric Model for Domestic Tourism Income Based on Rough Set. In: Dai, M. (eds) Innovative Computing and Information. ICCIC 2011. Communications in Computer and Information Science, vol 232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23998-4_37

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  • DOI: https://doi.org/10.1007/978-3-642-23998-4_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23997-7

  • Online ISBN: 978-3-642-23998-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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