bibtype J - Journal Article
ARLID 0533666
utime 20240103224619.2
mtime 20201029235959.9
SCOPUS 85093669101
WOS 000591502900005
DOI 10.1016/j.ijar.2020.09.002
title (primary) (eng) On subjective expected value under ambiguity
specification
page_count 13 s.
media_type P
serial
ARLID cav_un_epca*0256774
ISSN 0888-613X
title International Journal of Approximate Reasoning
volume_id 127
volume 1 (2020)
page_num 70-82
publisher
name Elsevier
keyword Ambiguity
keyword Belief function
keyword Decision-making
keyword Behavioral study
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 50
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 50
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2020/MTR/kratochvil-0533666.pdf
source
url https://www.sciencedirect.com/science/article/pii/S0888613X20302346
cas_special
project
project_id GA19-06569S
agency GA ČR
country CZ
ARLID cav_un_auth*0379647
abstract (eng) The paper describes decision-making models based on a newly introduced notion of personal expected value. Such models exhibit the ambiguity aversion, which is controlled by a subjective parameter with the semantics of “the higher the aversion, the higher the coefficient”. For negative values of this parameter, the models thus manifest a positive attitude to ambiguity. If this parameter equals zero, then the respective model turns into the usual belief function without the aversion to ambiguity. In this case, the personal expected value equals the recently introduced Shenoy’s expectation. Finally, the behavior of these models is briefly compared with experimental data.
result_subspec WOS
RIV BA
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2021
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0312002
confidential S
mrcbC86 3+4 Article Computer Science Artificial Intelligence
mrcbC91 C
mrcbT16-e COMPUTERSCIENCEARTIFICIALINTELLIGENCE
mrcbT16-i 1.02111
mrcbT16-j 0.727
mrcbT16-s 1.039
mrcbT16-B 40.175
mrcbT16-D Q3
mrcbT16-E Q1
arlyear 2020
mrcbU14 85093669101 SCOPUS
mrcbU24 PUBMED
mrcbU34 000591502900005 WOS
mrcbU63 cav_un_epca*0256774 International Journal of Approximate Reasoning 0888-613X 1873-4731 Roč. 127 č. 1 2020 70 82 Elsevier