Analyse formelle de concepts et fusion d'informations : application à l'estimation et au contrôle d'incertitude des indicateurs agri-environnementaux

Zainab Assaghir 1, 2
1 ORPAILLEUR - Knowledge representation, reasonning
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Merging pieces of information into an interpretable and useful format is a tricky task even when an information fusion method is chosen. Fusion results may not be in suitable form for being used in decision analysis. This is generally due to the fact that information sources are heterogeneous and provide inconsistent information, which may lead to imprecise results. Several fusion operators have been proposed for combining uncertain information and they apply the fusion operator on the set of all sources and provide the resulting information. In this work, we studied and proposed a method to combine information using Formal Concept Analysis in particular Pattern Structures. This method allows us to associate any subset of sources with its information fusion result. Then once a fusion operator is chosen, a concept lattice is built. The concept lattice gives an interesting classification of fusion results and it keeps a track of the information origin. When the fusion global result is too imprecise, the method enables the users to identify what maximal subset of sources would support a more precise and useful result. Instead of providing a unique fusion result, the method yields a structured view of partial results labelled by subsets of sources. In this thesis, we studied the numerical information represented in the framework of possibility theory and we used three fusion operators to built the concept lattice. We applied this method in the context of agronomy when experts have to estimate several characteristics values coming from several sources for computing an environemental risk.
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Zainab Assaghir. Analyse formelle de concepts et fusion d'informations : application à l'estimation et au contrôle d'incertitude des indicateurs agri-environnementaux. Informatique [cs]. Institut National Polytechnique de Lorraine - INPL, 2010. Français. ⟨tel-00587784⟩

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