Inclusion within Continuous Belief Functions
Artificial Intelligence
2015-01-28 v1
Abstract
Defining and modeling the relation of inclusion between continuous belief function may be considered as an important operation in order to study their behaviors. Within this paper we will propose and present two forms of inclusion: The strict and the partial one. In order to develop this relation, we will study the case of consonant belief function. To do so, we will simulate normal distributions allowing us to model and analyze these relations. Based on that, we will determine the parameters influencing and characterizing the two forms of inclusion.
Keywords
Cite
@article{arxiv.1501.06705,
title = {Inclusion within Continuous Belief Functions},
author = {Dorra Attiaoui and Pierre-Emmanuel Doré and Arnaud Martin and Boutheina Ben Yaghlane},
journal= {arXiv preprint arXiv:1501.06705},
year = {2015}
}
Comments
International Conference on Information Fusion - (FUSION 2013), Jul 2013, Istanbul, Turkey