Conditional Belief Functions Versus Proper Belief Functions
Autor: | Mieczyslaw A. Klopotek, Slawomir T. Wierzchon |
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Rok vydání: | 2003 |
Předmět: | |
Zdroj: | Neural Networks and Soft Computing ISBN: 9783790800050 |
Popis: | Dempster-Shafer conditional belief functions are generally not usable because composition of conditional belief functions is not granted to yield joint multivariate belief distribution, as some values of the belief distribution may be negative [1,3]. The paper proposes a framework, within which a sufficient condition for non-negativity of the graphoidally represented belief function is defined. |
Databáze: | OpenAIRE |
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