Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)

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

Authors
Wei Chen, Jian Zhang
Corresponding Author
Wei Chen
Available Online February 2018.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2017 3rd International Forum on Energy, Environment Science and Materials (IFEESM 2017)
Series
Advances in Engineering Research
Publication Date
February 2018
ISBN
978-94-6252-453-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifeesm-17.2018.21How to use a DOI?
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/).

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  - https://doi.org/10.2991/ifeesm-17.2018.21
ID  - Chen2018/02
ER  -