| bibtype |
J -
Journal Article
|
| ARLID |
0483288 |
| utime |
20240103215201.0 |
| mtime |
20171214235959.9 |
| SCOPUS |
85028453587 |
| WOS |
000413380900021 |
| DOI |
10.1016/j.ijar.2017.08.007 |
| title
(primary) (eng) |
Compositional models for credal sets |
| 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 |
90 |
| volume |
1 (2017) |
| page_num |
359-373 |
| publisher |
|
|
| keyword |
Imprecise probabilities |
| keyword |
Credal sets |
| keyword |
Multidimensional models |
| keyword |
Conditional independence |
| author
(primary) |
| ARLID |
cav_un_auth*0101223 |
| 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 |
| name1 |
Vejnarová |
| name2 |
Jiřina |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0332303 |
| project_id |
GA16-12010S |
| agency |
GA ČR |
| country |
CZ |
|
| abstract
(eng) |
We present the composition operator, already known from probability, possibility, evidence and valuation-based systems theories, for credal sets. We prove that the proposed definition preserves all the properties enabling us to design compositional models in a way analogous to those in the above-mentioned theories. A special kind of compositional models, the so-called perfect sequences of credal sets, is studied in more detail and (among others) its relationship to perfect sequences of probability distributions is revealed. The theoretical results are illustrated by numerous simple examples. |
| RIV |
BA |
| FORD0 |
10000 |
| FORD1 |
10100 |
| FORD2 |
10101 |
| reportyear |
2018 |
| num_of_auth |
1 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0278696 |
| confidential |
S |
| mrcbC86 |
3+4 Article Computer Science Artificial Intelligence |
| mrcbC86 |
3+4 Article Computer Science Artificial Intelligence |
| mrcbC86 |
3+4 Article Computer Science Artificial Intelligence |
| mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE |
| mrcbT16-j |
0.658 |
| mrcbT16-s |
0.866 |
| mrcbT16-B |
44.33 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q2 |
| arlyear |
2017 |
| mrcbU14 |
85028453587 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000413380900021 WOS |
| mrcbU63 |
cav_un_epca*0256774 International Journal of Approximate Reasoning 0888-613X 1873-4731 Roč. 90 č. 1 2017 359 373 Elsevier |
|