A Distance-Based Decision in the Credal Level - Archive ouverte HAL
Communication Dans Un Congrès Année : 2014

A Distance-Based Decision in the Credal Level

Résumé

Belief function theory provides a flexible way to combine information provided by different sources. This combination is usually followed by a decision making which can be handled by a range of decision rules. Some rules help to choose the most likely hypothesis. Others allow that a decision is made on a set of hypotheses. In [6], we proposed a decision rule based on a distance measure. First, in this paper, we aim to demonstrate that our proposed decision rule is a particular case of the rule proposed in [4]. Second, we give experiments showing that our rule is able to decide on a set of hypotheses. Some experiments are handled on a set of mass functions generated randomly, others on real databases.
Fichier principal
Vignette du fichier
AISCpaper.pdf (112.56 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01110349 , version 1 (28-01-2015)

Identifiants

Citer

Amira Essaid, Arnaud Martin, Grégory Smits, Boutheina Ben Yaghlane. A Distance-Based Decision in the Credal Level. International Conference on Artificial Intelligence and Symbolic Computation (AISC 2014), Dec 2014, Sevilla, Spain. pp.147 - 156, ⟨10.1007/978-3-319-13770-4_13⟩. ⟨hal-01110349⟩
442 Consultations
192 Téléchargements

Altmetric

Partager

More