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Fuzzy Sets and Systems
Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2004
Data sources: zbMATH Open
DBLP
Article . 2004
Data sources: DBLP
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Weak laws of large numbers for fuzzy random variables

Authors: Sang Yeol Joo;

Weak laws of large numbers for fuzzy random variables

Abstract

The author presents weak laws of large numbers for sums of convex-compactly uniformly integrable fuzzy random variables taking values in the space of normal and upper-semicontinuous fuzzy sets in \(R^p\) with compact support. The paper is motivated by the work of \textit{R. L. Taylor} [``Stochastic convergence of weighted sums of random elements in linear spaces'' (1978; Zbl 0443.60004), pp. 153--184], which obtained weak laws of large numbers for \(D[0,1]\)-valued random variables. It turns out, that the techniques used there are also useful in fuzzy cases.

Related Organizations
Keywords

weak law of large numbers, Central limit and other weak theorems, fuzzy random variables

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
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