Inclusion within Continuous Belief Functions

January 27, 2015 Β· Declared Dead Β· πŸ› Proceedings of the 16th International Conference on Information Fusion

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Authors Dorra Attiaoui, Pierre-Emmanuel DorΓ©, Arnaud Martin, Boutheina Ben Yaghlane arXiv ID 1501.06705 Category cs.AI: Artificial Intelligence Citations 0 Venue Proceedings of the 16th International Conference on Information Fusion Last Checked 5 months ago
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.
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