Possibilistic Belief Functions Generated by Direct Products of Single Possibilistic Measures

0403758 - UIVT-O 20000031 RIV CZ eng J - Článek v odborném periodiku
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
Grant CEP: GA AV ČR IAA1030803
Výzkumný záměr: AV0Z1030915
Klíčová slova: belief functions * belief revision * Dempster combination rule * possibilistic measures * possibilistic belief functions
Kód oboru RIV: BA - Obecná matematika

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.
Trvalý link: http://hdl.handle.net/11104/0003428