# A comparison of evidential networks and compositional models

Kybernetika (2014)

- Volume: 50, Issue: 2, page 246-267
- ISSN: 0023-5954

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topVejnarová, Jiřina. "A comparison of evidential networks and compositional models." Kybernetika 50.2 (2014): 246-267. <http://eudml.org/doc/261863>.

@article{Vejnarová2014,

abstract = {Several counterparts of Bayesian networks based on different paradigms have been proposed in evidence theory. Nevertheless, none of them is completely satisfactory. In this paper we will present a new one, based on a recently introduced concept of conditional independence. We define a conditioning rule for variables, and the relationship between conditional independence and irrelevance is studied with the aim of constructing a Bayesian-network-like model. Then, through a simple example, we will show a problem appearing in this model caused by the use of a conditioning rule. We will also show that this problem can be avoided if undirected or compositional models are used instead.},

author = {Vejnarová, Jiřina},

journal = {Kybernetika},

keywords = {evidence theory; conditioning; independence; directed graphs; evidence theory; conditioning; independence; directed graphs},

language = {eng},

number = {2},

pages = {246-267},

publisher = {Institute of Information Theory and Automation AS CR},

title = {A comparison of evidential networks and compositional models},

url = {http://eudml.org/doc/261863},

volume = {50},

year = {2014},

}

TY - JOUR

AU - Vejnarová, Jiřina

TI - A comparison of evidential networks and compositional models

JO - Kybernetika

PY - 2014

PB - Institute of Information Theory and Automation AS CR

VL - 50

IS - 2

SP - 246

EP - 267

AB - Several counterparts of Bayesian networks based on different paradigms have been proposed in evidence theory. Nevertheless, none of them is completely satisfactory. In this paper we will present a new one, based on a recently introduced concept of conditional independence. We define a conditioning rule for variables, and the relationship between conditional independence and irrelevance is studied with the aim of constructing a Bayesian-network-like model. Then, through a simple example, we will show a problem appearing in this model caused by the use of a conditioning rule. We will also show that this problem can be avoided if undirected or compositional models are used instead.

LA - eng

KW - evidence theory; conditioning; independence; directed graphs; evidence theory; conditioning; independence; directed graphs

UR - http://eudml.org/doc/261863

ER -

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