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Possibilistic Belief Functions Generated by Direct Products of Single Possibilistic Measures
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SYSNO ASEP 0403758 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve SCOPUS Title Possibilistic Belief Functions Generated by Direct Products of Single Possibilistic Measures Author(s) Kramosil, Ivan (UIVT-O) SAI Source Title Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552
Roč. 9, č. 6 (1999), s. 517-525Number of pages 9 s. Language eng - English Country CZ - Czech Republic Keywords belief functions ; belief revision ; Dempster combination rule ; possibilistic measures ; possibilistic belief functions Subject RIV BA - General Mathematics R&D Projects IAA1030803 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ 1030915 EID SCOPUS 0033298684 Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2001
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