The Strong Laws of Large Numbers for Set-Valued Random Variables in Fuzzy Metric Space
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In this paper, we firstly introduce the definition of the fuzzy metric of sets, and discuss the properties of fuzzy metric induced by the Hausdorff metric. Then we prove the limit theorems for set-valued random variables in fuzzy metric space; the convergence is about fuzzy metric induced by the Hausdorff metric. The work is an extension from the classical results for set-valued random variables to fuzzy metric space.
2020 ◽
Vol 20
(4)
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pp. 278-289
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2004 ◽
Vol 12
(06)
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pp. 811-825
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2017 ◽
Vol 46
(24)
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pp. 12387-12400
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1985 ◽
Vol 291
(2)
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pp. 613-613
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2004 ◽
Vol 2004
(9)
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pp. 443-458
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2019 ◽
Vol 49
(13)
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pp. 3153-3167
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The strong laws of large numbers for weighted sums of extended negatively dependent random variables
2016 ◽
Vol 46
(20)
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pp. 9881-9891
2008 ◽
Vol 30
(4)
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pp. 703-711
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