1996
DOI: 10.1006/jmaa.1996.0040
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On a Representation of Observables in Fuzzy Measurable Spaces

Abstract: We give a representation of observables in fuzzy measurable spaces by random variables and vice versa, and we prove a Loomis᎐Sikorski theorem analogue. Moreover, some applications are presented. ᮊ

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Cited by 8 publications
(2 citation statements)
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“…In [7], the theorem Let a fuzzy probability space (X,M,m) be given. In accordance with Piasecki [11] (see also [2]), we denote by K(M) the system of subset A C X for which there exists a fuzzy subset a G M such that (3.1) {a>i}c4c{«Sl}.…”
Section: The Kolmogorov-sinaj Theorem On Generatorsmentioning
confidence: 99%
“…In [7], the theorem Let a fuzzy probability space (X,M,m) be given. In accordance with Piasecki [11] (see also [2]), we denote by K(M) the system of subset A C X for which there exists a fuzzy subset a G M such that (3.1) {a>i}c4c{«Sl}.…”
Section: The Kolmogorov-sinaj Theorem On Generatorsmentioning
confidence: 99%
“…(ü) P(VZz fi) = ΣΖι P(fi), οποτεδήποτε f % <fj-, τ φ j. (iv) Στην εργασία [34], [16], έχει εισαχθεί μια συνηθισμένη σάλγεβρα υποσυνόλων του Ω, xem.…”
Section: κεφάλαιο 2 εφαρμογες των Ib-δτναμεωνunclassified