Application of the Grey System in Commercial Housing Price Prediction

DOI

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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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  -