bibtype C - Conference Paper (international conference)
ARLID 0382398
utime 20240103201418.4
mtime 20121101235959.9
DOI 10.1007/978-3-642-31718-7_47
title (primary) (eng) Conditioning in evidence theory from the perspective of multidimensional models
specification
page_count 10 s.
media_type P
serial
ARLID cav_un_epca*0379321
ISBN 978-3-642-31717-0
ISSN 1865-0929
title Advances in Computational Intelligence
page_num 450-459
publisher
place Heidelberg
name Springer
year 2012
editor
name1 Greco
name2 S.
keyword evidence theory
keyword conditioning
keyword multidimensional models
keyword conditional independence
keyword conditional irrelevance
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/2012/MTR/vejnarova-conditioning in evidence theory from the perspective of multidimensional models.pdf
cas_special
project
project_id GAP402/11/0378
agency GA ČR
ARLID cav_un_auth*0273630
abstract (eng) Conditioning belongs to the most important topics of any theory dealing with uncertainty. From the viewpoint of construction of Bayesian-network-like multidimensional models it seems to be inevitable. In evidence theory, in contrary to the probabilistic framework, various rules were proposed to define conditional beliefs and/or plausibilities (or basic assignments) from joint ones. Two of them — Dempster’s conditioning rule and focusing (more precisely their versions for variables) — have recently been studied in connection with the relationship between conditional independence and irrelevance and it has been shown, that for none of them conditional irrelevance is implied by conditional independence, which seems to be extremely inconvenient. Therefore we suggest a new conditioning rule for variables, which seems to be more promising from the viewpoint of conditional irrelevance, prove its correctness and also study the relationship between conditional independence and irrelevance based on this conditioning rule.
action
ARLID cav_un_auth*0284818
name 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2012
place Catania
dates 09.07.2012-13.07.2012
country IT
reportyear 2013
RIV BA
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0212627
mrcbT16-q 9
mrcbT16-s 0.133
mrcbT16-y 14.35
mrcbT16-x 0.13
mrcbT16-4 Q4
mrcbT16-E Q4
arlyear 2012
mrcbU63 cav_un_epca*0379321 Advances in Computational Intelligence 978-3-642-31717-0 1865-0929 450 459 Heidelberg Springer 2012 Communications in Computer and Information Science 299
mrcbU67 Greco S. 340
mrcbU67 Bouchon-Meunier B. 340
mrcbU67 Coletti G. 340
mrcbU67 Fedrizzi M. 340
mrcbU67 Matarazzo B. 340
mrcbU67 Yager R. R. 340