bibtype J - Journal Article
ARLID 0537685
utime 20250310141730.8
mtime 20210117235959.9
SCOPUS 85099726939
WOS 000732229600001
DOI 10.1109/TSMC.2020.3047992
title (primary) (eng) Prescriptive Inductive Operations On Probabilities Serving to Decision-Making Agents
specification
page_count 11 s.
media_type P
serial
ARLID cav_un_epca*0430806
ISSN 2168-2216
title IEEE Transactions on Systems Man Cybernetics-Systems
volume_id 52
volume 4 (2022)
page_num 2110-2120
publisher
name Institute of Electrical and Electronics Engineers
keyword dynamic decsion making
keyword uncertainty
keyword relative entropy
keyword approximation
keyword merging
keyword extension
author (primary)
ARLID cav_un_auth*0101124
name1 Kárný
name2 Miroslav
institution UTIA-B
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
share 100
garant A
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2021/AS/karny-0537685.pdf
source
url https://ieeexplore.ieee.org/document/9324930
cas_special
project
project_id LTC18075
agency GA MŠk
country CZ
ARLID cav_un_auth*0372050
abstract (eng) Approximation, extension and merging of probability distributions support inductive reasoning. They serve to modelling, knowledge and preference elicitation as well as to a soft cooperation within various decision-making (DM) scenarios. The theory dubbed as fully probabilistic design of DM strategies unifies the design of these operations on distributions. The unification decreases a danger of their improper choice and use. Still there is an uncertainty how the gained tools should be wielded. The paper diminishes it by spelling out conditions ruling their exploitation. The paper serves as an updated description of these tools, provides examples of their use and guides their tailoring to diverse scenarios.
result_subspec WOS
RIV BD
FORD0 20000
FORD1 20200
FORD2 20205
reportyear 2023
num_of_auth 1
mrcbC52 2 R hod 4 4rh 4 20250310141717.8 4 20250310141730.8
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0316068
confidential S
mrcbC91 C
mrcbT16-e AUTOMATIONCONTROLSYSTEMS|COMPUTERSCIENCECYBERNETICS
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mrcbTft \nSoubory v repozitáři: karny-537685.pdf
mrcbU14 85099726939 SCOPUS
mrcbU24 PUBMED
mrcbU34 000732229600001 WOS
mrcbU63 cav_un_epca*0430806 IEEE Transactions on Systems Man Cybernetics-Systems 2168-2216 2168-2232 Roč. 52 č. 4 2022 2110 2120 Institute of Electrical and Electronics Engineers