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Erschienen in: Soft Computing 1/2017

24.06.2016 | Focus

Layers of zero probability and stable coherence over Łukasiewicz events

verfasst von: Tommaso Flaminio, Lluís Godo

Erschienen in: Soft Computing | Ausgabe 1/2017

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Abstract

The notion of stable coherence has been recently introduced to characterize coherent assignments to conditional many-valued events by means of hyperreal-valued states. In a nutshell, an assignment, or book, \(\beta \) on a finite set of conditional events is stably coherent if there exists a coherent variant \(\beta '\) of \(\beta \) such that \(\beta '\) maps all antecedents of conditional events to a strictly positive hyperreal number, and such that \(\beta \) and \(\beta '\) differ by an infinitesimal. In this paper, we provide a characterization of stable coherence in terms of layers of zero probability for books on Łukasiewicz logic events.

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Fußnoten
1
An k-dimensional simplex is the convex hull of \(k+1\) affinely independent vertices. The empty set \(\emptyset \) is a \((-1)\)-dimensional simplex. A l-dimensional face of the k-simplex T over vertices \(\mathbf {x}_1\), \(\ldots \), \(\mathbf {x}_{k+1}\) is the k-simplex spanned by \(l+1\) vertices of T.
Let T be an k-dimensional simplex over rational vertices. Let \(\mathbf {x}=(a_1/d,\ldots ,a_k/d)\) be a vertex of T, for uniquely determined relatively prime integers \(a_1,\ldots ,a_k,d\) with \(d \ge 1\). Call \((a_1,\ldots ,a_k,d)\) the homogeneous coordinates of \(\mathbf {x}\), and call \(\mathrm {den}(\mathbf {x})=d\) the denominator of \(\mathbf {x}\). Then, T is unimodular if the absolute value of the determinant of the integer square matrix having the homogeneous coordinates of the ith vertex as its ith row is equal to 1 for all \(i =1,\ldots , n+1\). A r-dimensional simplex (\(r \le n\)) is unimodular if it is a face of some unimodular k-dimensional simplex.
 
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Metadaten
Titel
Layers of zero probability and stable coherence over Łukasiewicz events
verfasst von
Tommaso Flaminio
Lluís Godo
Publikationsdatum
24.06.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 1/2017
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-016-2233-8

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