Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)

Research on Prediction of Visitors Quantity Based on GM (1, 1) Method

Authors
Cai-Hong Sun
Corresponding Author
Cai-Hong Sun
Available Online October 2017.
DOI
10.2991/mse-17.2017.14How to use a DOI?
Keywords
visitors quantity; prediction; GM(1, 1) method
Abstract

Visitors quantity is regarded as the important economic indicator of weighing a country or regional tourism economic development, how to correctly and effectively predict regional visitors quantity according to relevant influencing factors is essential to the development of tourism economy. This paper firstly introduces several common prediction method principle, then according to the characteristics of visitors quantity, builds GM(1, 1) prediction model. The result shows that the method is feasible and effective, the results is accurate.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
Series
Advances in Economics, Business and Management Research
Publication Date
October 2017
ISBN
978-94-6252-394-4
ISSN
2352-5428
DOI
10.2991/mse-17.2017.14How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cai-Hong Sun
PY  - 2017/10
DA  - 2017/10
TI  - Research on Prediction of Visitors Quantity Based on GM (1, 1) Method
BT  - Proceedings of the 3rd Annual 2017 International Conference on Management Science and Engineering (MSE 2017)
PB  - Atlantis Press
SP  - 54
EP  - 56
SN  - 2352-5428
UR  - https://doi.org/10.2991/mse-17.2017.14
DO  - 10.2991/mse-17.2017.14
ID  - Sun2017/10
ER  -