bibtype C - Conference Paper (international conference)
ARLID 0507222
utime 20240103222349.8
mtime 20190803235959.9
SCOPUS 84988601027
WOS 000389706900001
DOI 10.1007/978-3-319-45559-4_1
title (primary) (eng) Entropy of Belief Functions in the Dempster-Shafer Theory: A New Perspective
specification
page_count 11 s.
media_type P
serial
ARLID cav_un_epca*0507221
ISBN 978-3-319-45558-7
ISSN 0302-9743
title Belief Functions: Theory and Applications
page_num 3-13
publisher
place Cham
name Springer
year 2016
editor
name1 Vejnarová
name2 Jiřina
editor
name1 Kratochvíl
name2 Václav
keyword Dempster-Shafer theory
keyword Entropy
keyword Probability consistency
keyword Ignorance
author (primary)
ARLID cav_un_auth*0101118
share 50
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
garant S
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0275452
name1 Shenoy
name2 P. P.
country US
source
url http://library.utia.cas.cz/separaty/2019/MTR/jirousek-0507222.pdf
cas_special
project
ARLID cav_un_auth*0353269
project_id GA15-00215S
agency GA ČR
country CZ
abstract (eng) The paper proposes a new definition of entropy of basic probability assignments (BPA) in the Dempster-Shafer (D-S) theory of belief func­tions, which is interpreted as a measure of total uncertainty in the BPA. A list of five desired properties of entropy for D-S belief func­tions theory is stated that are motivated by Shannon's definition of entropy of probability functions, together with the implicit requirement that any definition should be consistent with the semantics of D-S belief functions theory.
action
ARLID cav_un_auth*0334433
name International Conference on Belief Functions 2016 /4./
dates 21.09.2016-23.09.2016
place Prague
country CZ
RIV IN
FORD0 10000
FORD1 10200
FORD2 10201
reportyear 2020
num_of_auth 2
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0298564
confidential S
mrcbC86 n.a. Proceedings Paper Computer Science Artificial Intelligence
arlyear 2016
mrcbU14 84988601027 SCOPUS
mrcbU24 PUBMED
mrcbU34 000389706900001 WOS
mrcbU63 cav_un_epca*0507221 Belief Functions: Theory and Applications Springer 2016 Cham 3 13 978-3-319-45558-7 Lecture Notes in Artificial Intelligence LNAI 9861 0302-9743
mrcbU67 340 Vejnarová Jiřina
mrcbU67 340 Kratochvíl Václav