Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Application of F5 (0.000001) in Forecasting Tourist Quantity of Sanya

Authors
Kun Zhang, HongXu Wang, HaiFeng Wang, Zhuang Li
Corresponding Author
Kun Zhang
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.379How to use a DOI?
Keywords
Fuzzy time series forecasting model; F5 (0.000001); inverse fuzzy number; percentage of percentage; tourist quantity
Abstract

The work proposed F5 (0.000001)—an element in the set of FTSFM 5 (Fuzzy Time Series Forecasting Model 5). It is a time series forecasting model established based on the variables of historical data, percentage of historical data, the percentage of percentage of historical data, and inverse fuzzy number. F5 (0.000001) was used to forecast historical data of tourism revenue in Sanya, with higher accuracy. Meanwhile, the data of unknown years were also predicted and studied in the work. F5 (0.000001) has become a new time series forecasting method.

Copyright
© 2016, 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 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
10.2991/icmmct-16.2016.379
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.379How to use a DOI?
Copyright
© 2016, 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  - Kun Zhang
AU  - HongXu Wang
AU  - HaiFeng Wang
AU  - Zhuang Li
PY  - 2016/03
DA  - 2016/03
TI  - Application of F5 (0.000001) in Forecasting Tourist Quantity of Sanya
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 1902
EP  - 1906
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.379
DO  - 10.2991/icmmct-16.2016.379
ID  - Zhang2016/03
ER  -