bibtype C - Conference Paper (international conference)
ARLID 0395348
utime 20240103202847.5
mtime 20130911235959.9
title (primary) (eng) On Open Problems Connected with Application of the Iterative Proportional Fitting Procedure to Belief Functions
specification
page_count 9 s.
media_type P
serial
ARLID cav_un_epca*0394014
ISBN 978-2-913923-35-5
title Proceedings of the Eighth International Symposium on Imprecise Probability: Theories adn Applications
page_num 149-158
publisher
place Compiegne
name Society for Imprecise Probability: Theories and Applications
year 2013
keyword marginal problem
keyword belief function
keyword algorithm
keyword multidimensional model
keyword convergence
author (primary)
ARLID cav_un_auth*0216188
name1 Kratochvíl
name2 Václav
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.
author
ARLID cav_un_auth*0101118
name1 Jiroušek
name2 Radim
full_dept (cz) Matematická teorie rozhodování
full_dept Department of Decision Making Theory
department (cz) MTR
department 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/kratochvil-on open problems connected with application of the iterative proportional fitting procedure to belief functions.pdf
cas_special
project
project_id GA13-20012S
agency GA ČR
ARLID cav_un_auth*0292670
project
project_id GAP403/12/2175
agency GA ČR
country CZ
ARLID cav_un_auth*0284585
abstract (eng) In probability theory, Iterative Proportional Fitting Procedure can be used for construction of a joint probability measure from a system of its marginals. The present paper studies a possibility of application of an analogous procedure for belief functions, which was made possible by the fact that there exist operators of composition for belief functions. In fact, two different procedures based on two different composition operators are introduced. The procedure based on the composition derived from the Dempster's rule of combination is of very high computationally complexity and, from the theoretical point of view, practically nothing is known about its behavior. The other one, which uses the composition derived from the notion of factorization, is much more computationally efficient, and its convergence is guaranteed by a theorem proved in this paper.
action
ARLID cav_un_auth*0292247
name Eighth International Symposium on Imprecise Probability: Theories adn Applications
place Compiegne
dates 02.07.2013-05.07.2013
country FR
reportyear 2014
RIV BA
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0223481
arlyear 2013
mrcbU63 cav_un_epca*0394014 Proceedings of the Eighth International Symposium on Imprecise Probability: Theories adn Applications 978-2-913923-35-5 149 158 Compiegne Society for Imprecise Probability: Theories and Applications 2013