Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology

Forecast Model of Housing Prices Based on Grey System Theory

Authors
Congjun Rao, Yangqiu Ge
Corresponding Author
Congjun Rao
Available Online November 2015.
DOI
https://doi.org/10.2991/emeeit-15.2015.108How to use a DOI?
Keywords
Housing price; Forecast model; GM(1, 1) model
Abstract

In this paper, the problem of forecasting housing price is studied. Based on the grey system theory, a mathematical model for forecasting housing price is established, and a forecasting example of housing price is given according to the historical data of housing price in Wuhan City to show the feasibility and validity of the presented forecast model. This paper tries to forecast the trend of housing price changes and to provide the reference basis for house-purchase people.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-121-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emeeit-15.2015.108How to use a DOI?
Copyright
© 2015, 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  - Congjun Rao
AU  - Yangqiu Ge
PY  - 2015/11
DA  - 2015/11
TI  - Forecast Model of Housing Prices Based on Grey System Theory
BT  - Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology
PB  - Atlantis Press
SP  - 556
EP  - 559
SN  - 2352-538X
UR  - https://doi.org/10.2991/emeeit-15.2015.108
DO  - https://doi.org/10.2991/emeeit-15.2015.108
ID  - Rao2015/11
ER  -