Application of Fuzzy AR (p) Model in Data Processing of Deformation Monitoring
Wei Chen, Jian Zhang
Available Online February 2018.
- 10.2991/ifeesm-17.2018.21How to use a DOI?
- fuzzy AR(p) model;fuzzy number;deformation monitoring;data processing
Compared with general time series forecasting methods, fuzzy time series has the main advantage of dealing with linguistic variables or fuzzy data in time series. In this paper, the fuzzy AR (p) model estimation theory is introduced into the data processing of deformation monitoring,and the steps of modeling fuzzy AR (p) model are briefly given. Finally, an example is given to prove that it is effective and feasible to apply fuzzy AR (p) model to the data processing of deformation monitoring.
- © 2018, 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 - Wei Chen AU - Jian Zhang PY - 2018/02 DA - 2018/02 TI - Application of Fuzzy AR (p) Model in Data Processing of Deformation Monitoring BT - Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017) PB - Atlantis Press SP - 108 EP - 111 SN - 2352-5401 UR - https://doi.org/10.2991/ifeesm-17.2018.21 DO - 10.2991/ifeesm-17.2018.21 ID - Chen2018/02 ER -