Reliability prediction using an unequal interval grey model

Author(s):  
Yuhong Wang ◽  
Edward A. Pohl ◽  
Yaoguo Dang
2018 ◽  
Vol 18 (3) ◽  
pp. 250-259 ◽  
Author(s):  
Yangwoo Seo ◽  
Kyeshin Lee ◽  
Younho Lee ◽  
Jeyong Kim

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).


2011 ◽  
Vol 24 (12) ◽  
pp. 1126-1131 ◽  
Author(s):  
Haihong Huang ◽  
Renzeng Yang ◽  
Haixin Wang

IEEE Software ◽  
1992 ◽  
Vol 9 (4) ◽  
pp. 53-59 ◽  
Author(s):  
N. Karunanithi ◽  
D. Whitley ◽  
Y.K. Malaiya

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