Institute of Information Theory and Automation

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Publication details

Possibilistic Graphical Models and Compositional Models

Conference Paper (international conference)

Vejnarová Jiřina


serial: Proceedigs of 13h International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'10, p. 21-30 , Eds: Hullermaier Eyke, Kruse Rudolf, Hoffman Frank

action: 13h International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'10, (Dortmund, DE, 28.06.2010-02.07.2010)

research: CEZ:AV0Z10750506

project(s): GA201/09/1891, GA ČR, IAA100750603, GA AV ČR, 2C06019, GA MŠk

keywords: possibility distributions, graphical models, triangular norms

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abstract (eng):

We overview three kinds of Possibilistic graphical models (based on directed acyclic graphs) and present, how they can be expressed by means of non-graphical approach to multidimensional possibilistic models, so-called compositional models. We show that any of these graphical models can be transformed into a compositional model, but not vice versa. The only exception are directed possibilistic graphs, which are as general as so-called prefect sequences of low-dimensional distributions.

RIV: BA

bocek: 2012-12-21 16:10