bibtype |
J -
Journal Article
|
ARLID |
0506961 |
utime |
20240103222331.0 |
mtime |
20190729235959.9 |
SCOPUS |
84889092044 |
WOS |
000329013000002 |
DOI |
10.1016/j.ijar.2013.02.002 |
title
(primary) (eng) |
Compositional models in valuation-based systems |
specification |
page_count |
17 s. |
media_type |
P |
|
serial |
ARLID |
cav_un_epca*0256774 |
ISSN |
0888-613X |
title
|
International Journal of Approximate Reasoning |
volume_id |
55 |
volume |
1 (2014) |
page_num |
277-293 |
publisher |
|
|
keyword |
Valuation-based systems |
keyword |
Probability theory |
keyword |
Possibility theory |
keyword |
Dempster-Shafer belief function theory |
keyword |
Spohn's epistemic belief theory |
keyword |
Conditionals |
author
(primary) |
ARLID |
cav_un_auth*0101118 |
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 |
name1 |
Jiroušek |
name2 |
Radim |
institution |
UTIA-B |
garant |
K |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
author
|
ARLID |
cav_un_auth*0275452 |
share |
50 |
name1 |
Shenoy |
name2 |
P. P. |
country |
US |
|
source |
|
cas_special |
project |
ARLID |
cav_un_auth*0377669 |
project_id |
GAP403/12/2175 |
agency |
GA ČR |
country |
CZ |
|
abstract
(eng) |
Compositional models were initially described for discrete probability theory, and later extended for possibility theory and for belief functions in Dempster-Shafer (D-S) theory of evidence. Valuation-based systems (VBS) can be considered as a generic uncertainty calculus that has many uncertainty calculi, such as probability theory, a version of possibility theory where combination is the product t-norm, Spohn's epistemic belief theory, and D-S belief function theory, as special cases. In this paper, we describe compositional models in the general framework of VBS using the semantics of no-double counting, which is central to the VBS framework. We show that conditioning can be expressed using the composition operator. |
result_subspec |
WOS |
RIV |
BB |
FORD0 |
10000 |
FORD1 |
10100 |
FORD2 |
10103 |
reportyear |
2020 |
num_of_auth |
2 |
inst_support |
RVO:67985556 |
permalink |
http://hdl.handle.net/11104/0298087 |
confidential |
S |
mrcbT16-e |
COMPUTERSCIENCEARTIFICIALINTELLIGENCE |
mrcbT16-j |
0.683 |
mrcbT16-s |
1.460 |
mrcbT16-4 |
Q1 |
mrcbT16-B |
58.39 |
mrcbT16-C |
81.707 |
mrcbT16-D |
Q2 |
mrcbT16-E |
Q1 |
arlyear |
2014 |
mrcbU14 |
84889092044 SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
000329013000002 WOS |
mrcbU63 |
cav_un_epca*0256774 International Journal of Approximate Reasoning 0888-613X 1873-4731 Roč. 55 č. 1 2014 277 293 Elsevier |
|