Application of the Grey System in Commercial Housing Price Prediction
Zhuoshi Li, Yangyang Ye, Ming Fu, Fugui Zhu
Available Online November 2015.
- 10.2991/emeeit-15.2015.39How to use a DOI?
- commercial housing price prediction;grey system;improved GM(1,1) model;Matlab
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
- © 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 - 10.2991/emeeit-15.2015.39 ID - Li2015/11 ER -