The Prediction Model of Residential Housing-Price Tolerability Based on Fuzzy Matrix Analysis Theory

DOI

10.2991/msmi-14.2014.33How to use a DOI?

Keywords

Residential housing-price tolerability, Fuzzy matrix analysis theory, Prediction model, Housing price-income ratio.

Abstract

With the soaring property prices, research on the residential housing-price tolerability is of great practical significance to manage national economy order and control the national macro-economy policies. A prediction model of residential housing-price tolerability based on fuzzy matrix analysis theory has been put forward by this paper. Housing price-income ratio was used as the indicator of residential tolerability. And the principal influencing factors of housing prices have been determined. The prediction model based on fuzzy matrix has been set up according to data and realized by MATLAB program. The reasonable suggestion and conclusion on residential housing-price tolerability can be given by analyzing the results of fuzzy matrix model. The prediction model based on fuzzy matrix put forward by this paper considered several principal factors such as political, economy, administration, society and nature. The weight, which represents the importance of a certain factor, can be calculated by correlation index. The simulation result shows that the prediction model can reflect the objective reality comprehensively and effectively.

Copyright

© 2014, 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  - Feng-Guang Jiang
AU  - Li-Wen Chen
PY  - 2014/06
DA  - 2014/06
TI  - The Prediction Model of Residential Housing-Price Tolerability Based on Fuzzy Matrix Analysis Theory
BT  - Proceedings of the 2014 International Conference on Management Science and Management Innovation
PB  - Atlantis Press
SP  - 182
EP  - 190
SN  - 2352-5428
UR  - https://doi.org/10.2991/msmi-14.2014.33
DO  - 10.2991/msmi-14.2014.33
ID  - Jiang2014/06
ER  -