Possibility theory in information fusion

Possibility theory and the body of aggregation operations from fuzzy set theory provide some tools to address the problem of merging information coming from several sources. The approach to fusion is set-theoretic and the choice of conjunctive versus disjunctive fusion modes depends on assumptions on whether all sources are reliable or not. Quantified, prioritized and weighted fusion rules are described. A possibilistic logic counterpart of these combination modes is also briefly presented. The fusion of imprecise information is carefully distinguished from the estimation problem. Fuzzy extensions of estimation processes are also discussed. The approach, based on conflict analysis, applies to sensor fusion, aggregation of expert opinions as well as the merging of databases especially in case of poor, qualitative information.