Conditioning in evidence theory from the perspective of multidimensional models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00382398" target="_blank" >RIV/67985556:_____/12:00382398 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-31718-7_47" target="_blank" >http://dx.doi.org/10.1007/978-3-642-31718-7_47</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-31718-7_47" target="_blank" >10.1007/978-3-642-31718-7_47</a>
Alternative languages
Result language
angličtina
Original language name
Conditioning in evidence theory from the perspective of multidimensional models
Original language description
Conditioning belongs to the most important topics of any theory dealing with uncertainty. From the viewpoint of construction of Bayesian-network-like multidimensional models it seems to be inevitable. In evidence theory, in contrary to the probabilisticframework, various rules were proposed to define conditional beliefs and/or plausibilities (or basic assignments) from joint ones. Two of them ? Dempster?s conditioning rule and focusing (more precisely their versions for variables) ? have recently beenstudied in connection with the relationship between conditional independence and irrelevance and it has been shown, that for none of them conditional irrelevance is implied by conditional independence, which seems to be extremely inconvenient. Thereforewe suggest a new conditioning rule for variables, which seems to be more promising from the viewpoint of conditional irrelevance, prove its correctness and also study the relationship between conditional independence and irrelevance based
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GAP402%2F11%2F0378" target="_blank" >GAP402/11/0378: Aggregation of knowledge and expectations in the models of mathematical economics</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Computational Intelligence
ISBN
978-3-642-31717-0
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
450-459
Publisher name
Springer
Place of publication
Heidelberg
Event location
Catania
Event date
Jul 9, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—