| bibtype |
J -
Journal Article
|
| ARLID |
0573509 |
| utime |
20240402214138.4 |
| mtime |
20230712235959.9 |
| SCOPUS |
85165538154 |
| WOS |
001048425800001 |
| DOI |
10.1016/j.ijar.2023.108976 |
| title
(primary) (eng) |
On conditional belief functions in directed graphical models in the Dempster-Shafer theory |
| specification |
| page_count |
15 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0256774 |
| ISSN |
0888-613X |
| title
|
International Journal of Approximate Reasoning |
| volume_id |
160 |
| publisher |
|
|
| keyword |
Dempster-Shafer theory of belief functions |
| keyword |
Conditional belief functions |
| keyword |
Smets' conditional embedding |
| keyword |
Belief-function directed graphical models |
| 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 |
| 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 |
| 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 |
|
| source |
|
| cas_special |
| project |
| project_id |
GA21-07494S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0430801 |
|
| abstract
(eng) |
The primary goal is to define conditional belief functions in the Dempster-Shafer theory. We do so similarly to probability theory's notion of conditional probability tables. Conditional belief functions are necessary for constructing directed graphical belief function models in the same sense as conditional probability tables are necessary for constructing Bayesian networks. We provide examples of conditional belief functions, including those obtained by Smets' conditional embedding. Besides defining conditional belief functions, we state and prove a few basic properties of conditionals. In the belief-function literature, conditionals are defined starting from a joint belief function. Conditionals are then defined using the removal operator, an inverse of Dempster's combination operator. When such conditionals are well-defined belief functions, we show that our definition is equivalent to these definitions. |
| result_subspec |
WOS |
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10102 |
| reportyear |
2024 |
| num_of_auth |
3 |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0344419 |
| confidential |
S |
| article_num |
108976 |
| mrcbC91 |
A |
| mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE |
| mrcbT16-j |
0.75 |
| mrcbT16-s |
0.877 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q2 |
| arlyear |
2023 |
| mrcbU14 |
85165538154 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
001048425800001 WOS |
| mrcbU63 |
cav_un_epca*0256774 International Journal of Approximate Reasoning 160 1 2023 0888-613X 1873-4731 Elsevier |
|