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Independent fuzzy random variables and their application

✍ Scribed by Chao-Ming Hwang; Jing-Shing Yao


Book ID
107902997
Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
666 KB
Volume
82
Category
Article
ISSN
0165-0114

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✍ Q.M. Shao πŸ“‚ Article πŸ“… 1995 πŸ› Elsevier Science 🌐 English βš– 592 KB

This paper provides an elementary way to establish the general strong approximation theorems for independent random variables by using two special results of Sakhanenko. Applications to the law of the iterated logarithm and the strong law of large numbers are discussed. D1 1995 Academic Press, Inc.

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In this paper we discuss the properties of fuzzy random variables and fuzzy conditional expectation. Some extended results of dominated convergence theorems for fuzzy random variables are proved. We define the concept of a right-closed fuzzy martingale and give the necessary and sufficient condition