0346776 20240103193811.920110104235959.9 000290641900003 84880498280 10.1007/978-3-642-14055-6_3 10 s. cav_un_epca*0346775978-3-642-14054-91865-0929I.Lecture Notes in Computer Science21-30Berlin HeidelbergSpringer2010HullermaierEykeKruseRudolfHoffmanFrank possibility distributions graphical models triangular norms cav_un_auth*0101223 Vejnarová Jiřina Matematická teorie rozhodování Department of Decision Making Theory MTR MTR UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2010/MTR/vejnarova-possibilistic graphical models and compositional models.pdf GA201/09/1891 GA ČR cav_un_auth*0253175 IAA100750603 GA AV ČR cav_un_auth*0216427 2C06019 GA MŠk CZ cav_un_auth*0216518 CEZ:AV0Z10750506 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. cav_un_auth*0263779 13h International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'10 Dortmund 28.06.2010-02.07.2010 DE 2011 BA http://hdl.handle.net/11104/0187707 9 0.000 15.28 0 2010 84880498280 SCOPUS 000290641900003 WOS cav_un_epca*0346775 Proceedigs of 13h International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'10 I. 978-3-642-14054-9 1865-0929 21 30 Berlin Heidelberg Springer 2010 80 Lecture Notes in Computer Science Hullermaier Eyke 340 Kruse Rudolf 340 Hoffman Frank 340