Weak Laws of Large Numbers for Weighted Sums of Fuzzy Random Variables

초록

In this paper, we present some results on weak laws of large numbers for weighted sums of fuzzy random variables taking values in the space of fuzzy numbers of the real line R. We first give improvements of WLLN for weighted sums of convex-compactly uniformly integrable fuzzy random variables obtained by Joo and Hyun (2005). And then,we consider the case that the averages of expectations of fuzzy random variables converges. As results, WLLN for weighted sums of convexly tight or identically distributed case is obtained.

키워드

Fuzzy random variables; fuzzy numbers; weak laws of large numbers; tightness
제목
Weak Laws of Large Numbers for Weighted Sums of Fuzzy Random Variables
저자
현영남; 김윤경; 김영주; 주상열
발행일
2009-05
유형
Y
저널명
Communications for Statistical Applications and Methods
권
16
호
3
페이지
529 ~ 540