Conditioning in evidence theory from the perspective of multidimensional models

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Conditioning in evidence theory from the perspective of multidimensional models

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Conditioning in evidence theory from the perspective of multidimensional models

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

BA - Obecná matematika

OECD FORD obor

—

Projekt

<a href="/cs/project/GAP402%2F11%2F0378" target="_blank" >GAP402/11/0378: Agregace znalostí a očekávání v matematicko-ekonomických modelech</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Computational Intelligence

ISBN

978-3-642-31717-0

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

450-459

Název nakladatele

Springer

Místo vydání

Heidelberg

Místo konání akce

Catania

Datum konání akce

9. 7. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—