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

DOI

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.

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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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  - 10.2991/icemc-16.2016.142
ID  - Xu2016/05
ER  -