bibtype C - Conference Paper (international conference)
ARLID 0562471
utime 20230316105710.7
mtime 20221017235959.9
SCOPUS 85138779525
WOS 000874763000020
DOI 10.1007/978-3-031-17801-6_20
title (primary) (eng) On Conditional Belief Functions in the Dempster-Shafer Theory
specification
page_count 12 s.
media_type P
serial
ARLID cav_un_epca*0562470
ISBN 978-3-031-17800-9
ISSN 0302-9743
title Belief Functions: Theory and Applications. BELIEF 2022
page_num 207-218
publisher
place Cham
name Springer International Publishing
year 2022
editor
name1 Le Hégarat-Mascle
name2 Sylvie
editor
name1 Bloch
name2 Isabelle
editor
name1 Aldea
name2 Emanuel
keyword Dempster-Shafer belief function theory
keyword Conditional belief functions
keyword Smets’ conditional embedding
author (primary)
ARLID cav_un_auth*0101118
name1 Jiroušek
name2 Radim
institution UTIA-B
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
share 33
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0216188
name1 Kratochvíl
name2 Václav
institution UTIA-B
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department MTR
full_dept Department of Decision Making Theory
country CZ
share 33
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0438050
name1 Shennoy
name2 P. P.
country US
share 33
garant K
source
url http://library.utia.cas.cz/separaty/2022/MTR/jirousek-0562471.pdf
cas_special
project
project_id GA19-06569S
agency GA ČR
country CZ
ARLID cav_un_auth*0380559
abstract (eng) The primary goal is to define conditional belief functions in the Dempster-Shafer theory. We do so similar to the notion of conditional probability tables in probability theory. Conditional belief functions are necessary for constructing directed graphical belief function models in the same sense as conditional probability tables for constructing Bayesian networks. Besides defining conditional belief functions, we state and prove a few basic properties of conditionals. We provide several examples of conditional belief functions, including those obtained by Smets’ conditional embedding.
action
ARLID cav_un_auth*0438054
name International Conference on Belief Functions 2022 /7./
dates 20221026
mrcbC20-s 20221028
place Paris
country FR
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2023
num_of_auth 3
presentation_type PR
inst_support RVO:67985556
permalink https://hdl.handle.net/11104/0336396
confidential S
mrcbC86 n.a. Proceedings Paper Computer Science Artificial Intelligence|Computer Science Theory Methods
arlyear 2022
mrcbU14 85138779525 SCOPUS
mrcbU24 PUBMED
mrcbU34 000874763000020 WOS
mrcbU63 cav_un_epca*0562470 Belief Functions: Theory and Applications. BELIEF 2022 Springer International Publishing 2022 Cham 207 218 978-3-031-17800-9 Lecture Notes in Computer Science 13506 0302-9743 1611-3349
mrcbU67 Le Hégarat-Mascle Sylvie 340
mrcbU67 Bloch Isabelle 340
mrcbU67 Aldea Emanuel 340