Multi-Criteria Information Fusion for Storm Prediction Based on Belief Functions

Jean Dezert (1) , Aurélie Bouchard (2) , Magalie Buguet (2)

1 DTIS, ONERA, Université Paris Saclay [Palaiseau]
2 DPHY, ONERA, Université Paris Saclay [Palaiseau]

The objective of this paper is to present a general methodology for storm risk assessment and prediction based on several physical criteria thanks to the belief functions framework to deal with conflicting meteorological information. For this, we adapt the Soft ELECTRE TRI (SET) approach to this storm context and we show how to use it on outputs of atmospheric forecast model, given an estimate of the state of the atmosphere in a future time. This work could also serve as a benchmark for other methods dealing with multi-criteria decision-making (MCDM) support and conflicting information fusion.

Mots clés: storm risk assessment; information fusion; belief functions; decision-making; Soft ELECTRE TRI

Domaines: Météorologie; Probabilités [math.PR]

Jean Dezert, Aurélie Bouchard, Magalie Buguet. Multi-Criteria Information Fusion for Storm Prediction Based on Belief Functions. IEEE 24th International Conference on Information Fusion (FUSION 2021), Nov 2021, Sun City, South Africa. ⟨10.23919/FUSION49465.2021.9626835⟩. ⟨hal-03709193⟩