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Soft Computing
Article . 2001 . Peer-reviewed
License: Springer TDM
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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On the conditional expectation on probability MV-Algebras with product

On the conditional expectation on probability MV-algebras with product
Authors: Maria Jurecková;

On the conditional expectation on probability MV-Algebras with product

Abstract

Let \(M\) be a \(\sigma\)-complete MV-algebra with product, let \(m\) be a faithful state on \(M\), and let \((M,m)\) be the resulting probability MV-algebra. An observable is a map of the Borel subsets of \(R\) into \(M\) partially preserving the structure of events. Let \(x\) and \(y\) be observables. The conditional expectation \(E(x|y)\) is constructed and the following variant of the martingale convergence theorem is proved: Let \((g_n)\) be a sequence of Borel measurable functions, let \(y_n = y\circ g^{-1}_{n}\), \(n\in N\). Then, under natural additional conditions, \(E(x|y_n)\) converges to \(E(x|y)\) almost everywhere with respect to the distribution \(m_y\). The constructions generalize the corresponding results for MV-algebras of fuzzy sets [\textit{B. Riecan}, Soft Comput. 4, No. 1, 49-57 (2000)].

Keywords

MV-algebras, MV-algebra with product, conditional expectation, martingale convergence theorem, Probability theory on algebraic and topological structures, observable, Integration with respect to measures and other set functions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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