Possibilistic Belief Functions Generated by Direct Products of Single Possibilistic Measures

0403758 - UIVT-O 20000031 RIV CZ eng J - Journal Article
Kramosil, Ivan
Possibilistic Belief Functions Generated by Direct Products of Single Possibilistic Measures.
Neural Network World. Roč. 9, č. 6 (1999), s. 517-525. ISSN 1210-0552
R&D Projects: GA AV ČR IAA1030803
Institutional research plan: AV0Z1030915
Keywords : belief functions * belief revision * Dempster combination rule * possibilistic measures * possibilistic belief functions
Subject RIV: BA - General Mathematics

Possibilistic belief functions are defined in the way analogous to that in the classical Dempster-Shafer theory, but with sizes of random events quantified by possibilistic measures instead of the probabilistic ones. Each finite sequence of single possibilistic measures defines uniquely a product possibilistic measure with respect to a nonstandard partial ordering of its values in the unit interval of real numbers. Some properties of this product possibilistic measure are analyzed in more detail.
Permanent Link: http://hdl.handle.net/11104/0003428