Počet záznamů: 1
On Random Sets Independence and Strong Independence in Evidence Theory
- 1.0387908 - ÚTIA 2013 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Vejnarová, Jiřina
On Random Sets Independence and Strong Independence in Evidence Theory.
Belief Functions: Theory and Applications. Heidelberg: Springer, 2012 - (Denoeux, T.; Masson, M.), s. 247-254. Advances in Intelligent and Soft Computing, 164. ISBN 978-3-642-29460-0. ISSN 1867-5662.
[2nd International Conference on Belief Functions. Compiegne (FR), 09.05.2012-11.05.2012]
Grant CEP: GA ČR GAP402/11/0378
Institucionální podpora: RVO:67985556
Klíčová slova: evidence theory * independence
Kód oboru RIV: BA - Obecná matematika
http://library.utia.cas.cz/separaty/2013/MTR/vejnarova-on random sets independence and strong independence in evidence theory.pdf
Belief and plausibility functions can be viewed as lower and upper probabilities possessing special properties. Therefore, (conditional) independence concepts from the framework of imprecise probabilities can also be applied to its sub-framework of evidence theory. In this paper we concentrate ourselves on random sets independence, which seems to be a natural concept in evidence theory, and strong independence, one of two principal concepts (together with epistemic independence) in the framework of credal sets. We show that application of trong independence to two bodies of evidence generally leads to a model which is Beyond the framework of evidence theory. Nevertheless, if we add a condition on resulting focal elements, then strong independence reduces to random sets independence. Unfortunately, it is not valid no more for conditional independence.
Trvalý link: http://hdl.handle.net/11104/0217947
Počet záznamů: 1