Abstract
In this section we will consider situations in which two different types of uncertainty — vagueness and randomness, appear simultaneously. A random experiment is described as usual by a probability space (ΩuP), where Ω is the set of all possible outcomes of the experiment, u is a σ-algebra of subsets of Ω (the set of all possible events), and the set function P, defined on u, is a probability measure. In the simplest case we have a finite set Ω = {ω1,...,ωn} of possible outcomes, where the element ω i ∈ Ω has the probability p i .
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© 1987 D. Reidel Publishing Company, Dordrecht, Holland
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Kruse, R., Meyer, K.D. (1987). Random sets and fuzzy random variables. In: Statistics with Vague Data. Theory and Decision Library, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3943-1_7
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DOI: https://doi.org/10.1007/978-94-009-3943-1_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8249-5
Online ISBN: 978-94-009-3943-1
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