bibtype |
J -
Journal Article
|
ARLID |
0411083 |
utime |
20240103182300.6 |
mtime |
20060210235959.9 |
title
(primary) (eng) |
General framework for multidimensional models |
specification |
|
serial |
ARLID |
cav_un_epca*0256802 |
ISSN |
0884-8173 |
title
|
International Journal of Intelligent Systems |
volume_id |
18 |
volume |
1 (2003) |
page_num |
107-127 |
publisher |
|
|
keyword |
probability |
keyword |
possibility theory |
keyword |
multidimensional distribution |
author
(primary) |
ARLID |
cav_un_auth*0101118 |
name1 |
Jiroušek |
name2 |
Radim |
institution |
UTIA-B |
full_dept |
Department of Decision Making Theory |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0101223 |
name1 |
Vejnarová |
name2 |
Jiřina |
institution |
UTIA-B |
full_dept |
Department of Decision Making Theory |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
COSATI |
12A |
cas_special |
project |
project_id |
GA201/02/1269 |
agency |
GA ČR |
ARLID |
cav_un_auth*0005739 |
|
project |
project_id |
1999-24 |
agency |
AKTION-KONTAKT |
country |
AT |
|
research |
CEZ:AV0Z1075907 |
abstract
(eng) |
The paper is an attempt to build up a unifying theoretical framework in which both probabilistic and possibilistic multidimensional models could be described. This novel approach is applied to presenting models based on iterative application of operators of composition. In probabilistic framework, the model is fully equivalent to Bayesian networks. |
RIV |
BA |
department |
MTR |
permalink |
http://hdl.handle.net/11104/0131170 |
ID_orig |
UTIA-B 20030070 |
arlyear |
2003 |
mrcbU63 |
cav_un_epca*0256802 International Journal of Intelligent Systems 0884-8173 1098-111X Roč. 18 č. 1 2003 107 127 Wiley |
|