Conservative, Proportional and Optimistic Contextual Discounting in the Belief Functions Theory

Marek Kurdej (1) , Véronique Cherfaoui (1)

1 Heudiasyc - Heuristique et Diagnostic des Systèmes Complexes [Compiègne]

Information discounting plays an important role in the theory of belief functions and, generally, in information fusion. Nevertheless, neither classical uniform discounting nor contextual cannot model certain use cases, notably temporal discounting. In this article, new contextual discounting schemes, conservative, proportional and optimistic, are proposed. Some properties of these discounting operations are examined. Classical discounting is shown to be a special case of these schemes. Two motivating cases are discussed: modelling of source reliability and application to temporal discounting.

Mots clés: Dempster-Shafer theory; belief functions; contextual discounting; contextual fusion; discounting; evidence theory; temporal discounting

Domaines: Robotique [cs.RO]

Marek Kurdej, Véronique Cherfaoui. Conservative, Proportional and Optimistic Contextual Discounting in the Belief Functions Theory. 16th International Conference on Information Fusion (FUSION 2013), Jul 2013, Istanbul, Turkey. pp.2012-2018. ⟨hal-00920873⟩