| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0600834 |
| utime |
20250331111329.6 |
| mtime |
20241113235959.9 |
| title
(primary) (eng) |
On cardinalities of different degrees of Belief functions conjunctive conflictness |
| specification |
| page_count |
12 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0600833 |
| ISBN |
978-80-905688-0-8 |
| title
|
Proceedings of the 24th Czech-Japan Seminar on Data Analysis and Decision Making |
| page_num |
14-25 |
| publisher |
| place |
Praha |
| name |
ÚTIA AV ČR |
| year |
2024 |
|
|
| keyword |
belief function |
| keyword |
conflict |
| keyword |
degree of conflict |
| author
(primary) |
| ARLID |
cav_un_auth*0100740 |
| name1 |
Daniel |
| name2 |
Milan |
| institution |
UIVT-O |
| full_dept (cz) |
Oddělení složitých systémů |
| full_dept (eng) |
Department of Complex Systems |
| fullinstit |
Ústav informatiky 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. |
|
| source |
|
| source |
|
| cas_special |
| abstract
(eng) |
This paper examines mutual conflict behavior between belief function structures across different discernment frame sizes (\(\Omega\)). Through experiments on \(\Omega_2\) to \(\Omega_6\), we observe that as frame size increases, non-conflicting pairs and higher-order hidden conflicts become exceedingly relatively rare despite the exponential growth of cardinalities of their classes. The super-exponential growth of possible belief structures complicates exhaustive analysis, leading us to employ random sampling. Our findings reveal that the cardinality of a class of first-degree hidden conflicts (HC\(_1\)) grows faster than non-conflicts as frame size increases, highlighting the challenges and implications of applying belief function theory in complex decision-making scenarios. |
| action |
| ARLID |
cav_un_auth*0476414 |
| name |
Czech-Japan Seminar on Data Analysis and Decision Making 2024 /24./ |
| dates |
20240909 |
| mrcbC20-s |
20240912 |
| place |
Telč |
| country |
CZ |
|
| RIV |
BB |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10102 |
| reportyear |
2025 |
| num_of_auth |
2 |
| mrcbC47 |
UIVT-O 10000 10200 10201 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| inst_support |
RVO:67985807 |
| permalink |
https://hdl.handle.net/11104/0358254 |
| confidential |
S |
| arlyear |
2024 |
| mrcbU02 |
C |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
pdf |
| mrcbU63 |
cav_un_epca*0600833 Proceedings of the 24th Czech-Japan Seminar on Data Analysis and Decision Making ÚTIA AV ČR 2024 Praha 14 25 978-80-905688-0-8 |
|