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

Application of the Grey System in Commercial Housing Price Prediction

Authors
Zhuoshi Li, Yangyang Ye, Ming Fu, Fugui Zhu
Corresponding Author
Zhuoshi Li
Available Online November 2015.
DOI
https://doi.org/10.2991/emeeit-15.2015.39How to use a DOI?
Keywords
commercial housing price prediction;grey system;improved GM(1,1) model;Matlab
Abstract

In this paper, basing on the grey system theory with "partial information be known, partial information be unknown" of "small sample", "poor information" uncertainty system as researching object.From the basis of historical data to build models, the price of house and from the background value of improvement is given and the primary value of the two aspects from the selection of optimization of the improved model, using the residual value, poor development coefficient, posterior ratio and the small error is probable to the improved model

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/).

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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-15.2015.39How 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  - Zhuoshi Li
AU  - Yangyang Ye
AU  - Ming Fu
AU  - Fugui Zhu
PY  - 2015/11
DA  - 2015/11
TI  - Application of the Grey System in Commercial Housing Price Prediction
BT  - Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology
PB  - Atlantis Press
SP  - 192
EP  - 195
SN  - 2352-538X
UR  - https://doi.org/10.2991/emeeit-15.2015.39
DO  - https://doi.org/10.2991/emeeit-15.2015.39
ID  - Li2015/11
ER  -