Proceedings of the 2016 International Conference on Education, Management and Computer Science

Research on the Application of Inverse Fuzzy Number to the Time Series Forecasting Algorithm of Tourism Revenue

Authors
Pingli Xu, Yufei Wang, Kun Zhang
Corresponding Author
Pingli Xu
Available Online May 2016.
DOI
https://doi.org/10.2991/icemc-16.2016.142How to use a DOI?
Keywords
Model time series prediction; Percentage; Formula modeling; Inverse fuzzy number; Total tourism income.
Abstract
A kind of improved method, applied to Hangzhou Songcheng theme park tourism income and found that are known in the simulation and prediction of the value, regional value of grey model to predict the smaller fuzzy time series forecasting is proposed in this paper. The prediction formula is simple and convenient, and it is easy to calculate. The error rate of historical simulation is small, and the main idea of forecasting data is a kind of method which can be trusted.
Open Access
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Proceedings
2016 International Conference on Education, Management and Computer Science
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2016
ISBN
978-94-6252-202-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/icemc-16.2016.142How 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  - Pingli Xu
AU  - Yufei Wang
AU  - Kun Zhang
PY  - 2016/05
DA  - 2016/05
TI  - Research on the Application of Inverse Fuzzy Number to the Time Series Forecasting Algorithm of Tourism Revenue
BT  - 2016 International Conference on Education, Management and Computer Science
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icemc-16.2016.142
DO  - https://doi.org/10.2991/icemc-16.2016.142
ID  - Xu2016/05
ER  -