Application of Fuzzy AR (p) Model in Data Processing of Deformation Monitoring

DOI

10.2991/ifeesm-17.2018.21How to use a DOI?

Keywords

fuzzy AR(p) model;fuzzy number;deformation monitoring;data processing

Abstract

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.

Copyright

© 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/).

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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  -