Research on the Application of Inverse Fuzzy Number to the Time Series Forecasting Algorithm of Tourism Revenue
Pingli Xu, Yufei Wang, Kun Zhang
Available Online May 2016.
- https://doi.org/10.2991/icemc-16.2016.142How to use a DOI?
- Model time series prediction; Percentage; Formula modeling; Inverse fuzzy number; Total tourism income.
- 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
- 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 - Proceedings of the 2016 International Conference on Education, Management and Computer Science PB - Atlantis Press SP - 703 EP - 707 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 -