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Title: Many-dimensional observables on Łukasiewicz tribe: constructions, conditioning and conditional independence (English)
Author: Kroupa, Tomáš
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 41
Issue: 4
Year: 2005
Pages: [451]-468
Summary lang: English
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Category: math
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Summary: Probability on collections of fuzzy sets can be developed as a generalization of the classical probability on $\sigma $-algebras of sets. A Łukasiewicz tribe is a collection of fuzzy sets which is closed under the standard fuzzy complementation and under the pointwise application of the Łukasiewicz t-norm to countably many fuzzy sets. An observable is a fuzzy set-valued mapping defined on a $\sigma $-algebra of sets and satisfying some additional properties; formally, the role of an observable is in a sense analogous to that of a random variable in classical probability theory. This article aims at studying and surveying some properties of observables on a Łukasiewicz tribe of fuzzy sets with a special focus on many-dimensional observables. Namely, the definition and basic construction techniques of observables are discussed. A method for a reasonable construction and interpretation of a joint observable is proposed. Further, the contribution contains results concerning conditioning of observables. We continue in our study [kroupaSC] of conditional independence in this framework and conclude that semi-graphoid properties are preserved. (English)
Keyword: state
Keyword: observable
Keyword: tribe of fuzzy sets
Keyword: conditional independence
MSC: 03E72
MSC: 06D35
MSC: 06D39
MSC: 60A86
MSC: 60B99
idZBL: Zbl 1249.60004
idMR: MR2180357
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Date available: 2009-09-24T20:10:25Z
Last updated: 2015-03-23
Stable URL: http://hdl.handle.net/10338.dmlcz/135669
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