Strong convergence for weighted sums of fuzzy random sets☆

2006 ◽  
Vol 176 (8) ◽  
pp. 1086-1099 ◽  
Author(s):  
S JOO ◽  
Y KIM ◽  
J KWON
1995 ◽  
Vol 13 (4) ◽  
pp. 461-470 ◽  
Author(s):  
Hiroshi Inoue ◽  
Robert L. Taylor

2014 ◽  
Vol 32 (1_2) ◽  
pp. 55-60
Author(s):  
Joong-Sung Kwon ◽  
Hong-Tae Shim

2005 ◽  
Vol 15 (3) ◽  
pp. 337-342 ◽  
Author(s):  
Joong-Sung Kwon ◽  
Yun-Kyong Kim ◽  
Sang-Yeol Joo ◽  
Gyeong-Suk Choi

Filomat ◽  
2016 ◽  
Vol 30 (9) ◽  
pp. 2535-2549 ◽  
Author(s):  
H. Ahmadzade ◽  
M. Amini ◽  
S.M. Taheri ◽  
A. Bozorgnia

The concept of negative dependence for fuzzy random variables is introduced. The basic properties of such random variables are investigated. Some results on weak and strong convergence for sums and weighted sums of pairwise negatively dependent fuzzy random variables are derived. As a direct extension of classical methods, some limit theorems are established based on the concept of variance and covariance.


2005 ◽  
Vol 42 (1) ◽  
pp. 171-189 ◽  
Author(s):  
SANG YEOL JOO ◽  
GYEONG SUK CHOI ◽  
JOONG SUNG KWON ◽  
YUN KYONG KIM

2006 ◽  
Vol 157 (2) ◽  
pp. 243-255 ◽  
Author(s):  
Sang Yeol Joo ◽  
Yun Kyong Kim ◽  
Joong Sung Kwon ◽  
Gyeong Suk Choi

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