| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0555172 |
| utime |
20230316104755.5 |
| mtime |
20220309235959.9 |
| SCOPUS |
85126538632 |
| WOS |
000786448900001 |
| DOI |
10.1007/978-3-030-98018-4_1 |
| title
(primary) (eng) |
Measuring Quality of Belief Function Approximations |
| specification |
| page_count |
12 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0555171 |
| ISBN |
978-3-030-98017-7 |
| ISSN |
0302-9743 |
| title
|
Integrated Uncertainty in Knowledge Modelling and Decision Making |
| page_num |
3-15 |
| publisher |
| place |
Cham |
| name |
Springer |
| year |
2022 |
|
| editor |
| name1 |
Honda |
| name2 |
Katsuhiro |
|
| editor |
|
| editor |
| name1 |
Ubukata |
| name2 |
Seiki |
|
| editor |
| name1 |
Huynh |
| name2 |
Van-Nam |
|
| editor |
| name1 |
Inuiguchi |
| name2 |
Masahiro |
|
|
| keyword |
Belief functions |
| keyword |
Divergence |
| keyword |
Approximation |
| keyword |
Compositional 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 |
| 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 |
|
| cas_special |
| project |
| project_id |
GA19-06569S |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0380559 |
|
| abstract
(eng) |
Because of the high computational complexity of the respective procedures, the application of belief-function theory to problems of practice is possible only when the considered belief functions are approximated in an efficient way. Not all measures of similarity/dissimilarity are felicitous to measure the quality of such approximations. The paper presents results from a pilot study that tries to detect the divergences suitable for this purpose. |
| action |
| ARLID |
cav_un_auth*0426364 |
| name |
International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making 2022 /9./ |
| dates |
20220318 |
| mrcbC20-s |
20220319 |
| place |
Ishikawa |
| country |
JP |
|
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10101 |
| reportyear |
2023 |
| num_of_auth |
2 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0330288 |
| confidential |
S |
| article_num |
1 |
| mrcbC86 |
n.a. Proceedings Paper Computer Science Artificial Intelligence|Management |
| arlyear |
2022 |
| mrcbU14 |
85126538632 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000786448900001 WOS |
| mrcbU63 |
cav_un_epca*0555171 Integrated Uncertainty in Knowledge Modelling and Decision Making Springer 2022 Cham 3 15 978-3-030-98017-7 Lecture Notes in Computer Science 13199 0302-9743 1611-3349 |
| mrcbU67 |
Honda Katsuhiro 340 |
| mrcbU67 |
Entani Tomoe 340 |
| mrcbU67 |
Ubukata Seiki 340 |
| mrcbU67 |
Huynh Van-Nam 340 |
| mrcbU67 |
Inuiguchi Masahiro 340 |
|