Compositional models and conditional independence in evidence theory

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F11%3A00370515" target="_blank" >RIV/67985556:_____/11:00370515 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61384399:31160/11:00037580

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.ijar.2010.02.005" target="_blank" >http://dx.doi.org/10.1016/j.ijar.2010.02.005</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ijar.2010.02.005" target="_blank" >10.1016/j.ijar.2010.02.005</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Compositional models and conditional independence in evidence theory

Popis výsledku v původním jazyce

The goal of the paper is twofold. The first is to show that some of the ideas for representation of multidimensional distributions in probability and possibility theories can be transferred into evidence theory. Namely, we show that multidimensional basic assignments can be rather efficiently represented in a form of so-called compositional models. These models are based on the iterative application of the operator of composition, whose definition for basic assignments as well as its properties are presented. We also prove that the operator of composition in evidence theory is in a sense generalization of its probabilistic counterpart. The second goal of the paper is to introduce a new definition of conditional independence in evidence theory and to show in what sense it is superior to that formerly introduced by other authors.

Název v anglickém jazyce

Compositional models and conditional independence in evidence theory

Popis výsledku anglicky

The goal of the paper is twofold. The first is to show that some of the ideas for representation of multidimensional distributions in probability and possibility theories can be transferred into evidence theory. Namely, we show that multidimensional basic assignments can be rather efficiently represented in a form of so-called compositional models. These models are based on the iterative application of the operator of composition, whose definition for basic assignments as well as its properties are presented. We also prove that the operator of composition in evidence theory is in a sense generalization of its probabilistic counterpart. The second goal of the paper is to introduce a new definition of conditional independence in evidence theory and to show in what sense it is superior to that formerly introduced by other authors.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

<a href="/cs/project/2C06019" target="_blank" >2C06019: Získávání a modelování (lékařských) znalostí</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název periodika

International Journal of Approximate Reasoning

ISSN

0888-613X

e-ISSN

—

Svazek periodika

52

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

19

Strana od-do

316-334

Kód UT WoS článku

000288470100003

EID výsledku v databázi Scopus

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