%0 Journal Article
%T A Distance-Based Decision in the Credal Level
%A Amira Essaid
%A Arnaud Martin
%A Gr¨¦gory Smits
%A Boutheina Ben Yaghlane
%J Computer Science
%D 2015
%I arXiv
%R 10.1007/978-3-319-13770-4_13
%X 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.
%U http://arxiv.org/abs/1501.07008v1