Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)

Applying Of F2 (0.004) Forecasting the Number of Tourists in Sanya

Authors
Xuebin Huang, Hongxu Wang, Zhen Chen, Xi Zhang
Corresponding Author
Xuebin Huang
Available Online October 2016.
DOI
https://doi.org/10.2991/ceie-16.2017.16How to use a DOI?
Keywords
Fuzzy Time Series Forecasting Model; F2 (0.004); Inverse Fuzzy Numbers; Differential-Difference; The number of Tourists
Abstract
The prediction formula of F2 (0.004) relies on inverse fuzzy numbers, the difference of historical data and the differential-difference of the historical data. F2 (0.004) is a fuzzy time-series forecasting model. This paper reports the application of F2 (0.004) on forecasting research about the historical data of tourist number in Sanya from 2006 to 2014 and the number of tourists in the unknown year 2015. For the study of time series forecasting problems, F2 (0.004) is an added new methods.
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Volume Title
Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
Series
Advances in Engineering Research
Publication Date
October 2016
ISBN
978-94-6252-312-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ceie-16.2017.16How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xuebin Huang
AU  - Hongxu Wang
AU  - Zhen Chen
AU  - Xi Zhang
PY  - 2016/10
DA  - 2016/10
TI  - Applying Of F2 (0.004) Forecasting the Number of Tourists in Sanya
BT  - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016)
PB  - Atlantis Press
SP  - 115
EP  - 123
SN  - 2352-5401
UR  - https://doi.org/10.2991/ceie-16.2017.16
DO  - https://doi.org/10.2991/ceie-16.2017.16
ID  - Huang2016/10
ER  -