bibtype C - Conference Paper (international conference)
ARLID 0439579
utime 20240103205546.1
mtime 20150122235959.9
SCOPUS 84921855139
DOI 10.1007/978-3-319-11191-9_36
title (primary) (eng) On Marginal Problem in Evidence Theory
specification
page_count 8 s.
media_type P
serial
ARLID cav_un_epca*0434586
ISBN 978-3-319-11190-2
ISSN 0302-9743
title Belief Functions: Theory and Applications
page_num 331-338
publisher
place Cham
name Springer
year 2014
editor
name1 Cuzzolin
name2 F.
keyword evidence theory
keyword marginal problem
keyword extension
keyword product extension
author (primary)
ARLID cav_un_auth*0101223
full_dept (cz) Matematická teorie rozhodování
full_dept (eng) Department of Decision Making Theory
department (cz) MTR
department (eng) MTR
full_dept Department of Decision Making Theory
name1 Vejnarová
name2 Jiřina
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2014/MTR/vejnarova-0439579.pdf
cas_special
project
ARLID cav_un_auth*0292670
project_id GA13-20012S
agency GA ČR
abstract (eng) Marginal problem in the framework of evidence theory is introduced in a way analogous to probabilistic one, to address the question of whether or not a common extension exists for a given set of marginal basic assignments. Similarities between these two problem types are demonstrated, concerning necessary condition for the existence of an extension and sets of all solutions. Finally, product extension of the set of marginal basic assignments is introduced as a tool for the expression of a representative in a closed form.
action
ARLID cav_un_auth*0309159
name BELIEF 2014. International Conference /3./
dates 26.09.2014-28.09.2014
place Oxford
country GB
RIV BA
reportyear 2015
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0243119
confidential S
mrcbT16-q 100
mrcbT16-s 0.323
mrcbT16-y 17.13
mrcbT16-x 0.52
mrcbT16-4 Q2
mrcbT16-E Q3
arlyear 2014
mrcbU14 84921855139 SCOPUS
mrcbU63 cav_un_epca*0434586 Belief Functions: Theory and Applications 978-3-319-11190-2 0302-9743 331 338 Cham Springer 2014 Lecture Notes in Artificial Intelligence 8764
mrcbU67 Cuzzolin F. 340