Study on the Panjin Commercial Real Estate Demand Forecast Based on Grey System Theory

Author(s):  
Yachen Liu ◽  
Shuai Zhang
2011 ◽  
Vol 368-373 ◽  
pp. 1278-1283
Author(s):  
Qian Li ◽  
Run Qiang Chen ◽  
Rong Bai

In our real estate enterprises, the rapid growth and lopsided organization structure have become the obstacle for the development. This paper regards real estate enterprise as the research object. Based on the foundation of substantive investigation and expert consultation,considering the practical situation of real estate enterprise, following the basic principles of index system design of organization structure adaptability evaluation, this paper constructs an index system of organization structure adaptability of real estate enterprise evaluation. Combining AHP, Grey System Theory and concrete examples, this paper works out the evaluation grade of organization structure adaptability of real estate enterprise.


Author(s):  
Hui Li ◽  
Yongli Wang ◽  
Dong Peng ◽  
Zhidong Wang ◽  
Yuze Ma ◽  
...  

2014 ◽  
Vol 631-632 ◽  
pp. 1167-1170
Author(s):  
Fan Dong ◽  
Meng Qi Wang

At present, most of the researches on impact of e-commerce in china on the supply and demand for commercial real estate are qualitative researches, thus this paper aims to verify the impact of the development of Chinese e-commerce on the supply and demand for commercial real estate through grey relational analysis. In addition, this paper conducted predictive analysis on the supply and demand for commercial real estate in the certain future period by the prediction model GM (1,1), to much more accurately understand the supply and demand for commercial real estate market, produce reasonable expectation about the future demand for commercial real estate market, ensure a balanced development in supply and demand for commercial real estate, as well as achieve healthy and stable operation of the real estate industry and the urban economy.


2019 ◽  
Vol 10 (9) ◽  
pp. 852-860
Author(s):  
Mahmoud Elsayed ◽  
◽  
Amr Soliman ◽  

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).


2000 ◽  
Vol 11 (1) ◽  
pp. 34-36 ◽  
Author(s):  
Wang Jing ◽  
Hou Yuesong ◽  
Li Weilin ◽  
Cheng Wenhui

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