bibtype C - Conference Paper (international conference)
ARLID 0387908
utime 20240103202028.6
mtime 20130207235959.9
WOS 000312034100029
DOI 10.1007/978-3-642-29461-7_29
title (primary) (eng) On Random Sets Independence and Strong Independence in Evidence Theory
specification
page_count 8 s.
media_type P
serial
ARLID cav_un_epca*0379833
ISBN 978-3-642-29460-0
ISSN 1867-5662
title Belief Functions: Theory and Applications
page_num 247-254
publisher
place Heidelberg
name Springer
year 2012
editor
name1 Denoeux
name2 T.
editor
name1 Masson
name2 M.H.
keyword evidence theory
keyword independence
author (primary)
ARLID cav_un_auth*0101223
name1 Vejnarová
name2 Jiřina
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2013/MTR/vejnarova-on random sets independence and strong independence in evidence theory.pdf
cas_special
project
project_id GAP402/11/0378
agency GA ČR
ARLID cav_un_auth*0273630
abstract (eng) 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.
action
ARLID cav_un_auth*0288295
name 2nd International Conference on Belief Functions
place Compiegne
dates 09.05.2012-11.05.2012
country FR
reportyear 2013
RIV BA
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0217947
mrcbT16-s 0.126
mrcbT16-4 Q4
mrcbT16-E Q4
arlyear 2012
mrcbU34 000312034100029 WOS
mrcbU63 cav_un_epca*0379833 Belief Functions: Theory and Applications 978-3-642-29460-0 1867-5662 247 254 Heidelberg Springer 2012 Advances in Intelligent and Soft Computing 164
mrcbU67 Denoeux T. 340
mrcbU67 Masson M.H. 340