Grey system theory and fuzzy time series forecasting for the growth of green electronic materials

2013 ◽  
Vol 52 (10) ◽  
pp. 2931-2945 ◽  
Author(s):  
Yu-Cheng Lee ◽  
Chia-Huei Wu ◽  
Sang-Bing Tsai
2010 ◽  
Vol 37 (2) ◽  
pp. 1784-1789 ◽  
Author(s):  
Erdal Kayacan ◽  
Baris Ulutas ◽  
Okyay Kaynak

2011 ◽  
Vol 368-373 ◽  
pp. 2147-2152 ◽  
Author(s):  
Dong Liang Qiao ◽  
Ming Zhao

For the long-term monitoring of structure, the deformation trend changes periodically and is hard to extract. A small amount of recent data can be selected to avoid such problem. The study refers to the idea of grey system theory and provides an improved way of deformation prediction in time series analysis with a small amount of data. By cumulating the original data, the trend item is made clear and the rule of data becomes obvious. The prediction results show that the way provided by this article gives a more accurate prediction in the short term. When the prediction results have a large deviation with actual deformation, it can be believed that the trend has changed and the monitored structure may be affected.


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

Sign in / Sign up

Export Citation Format

Share Document