Constructing of a Consensus of Several Experts Statements

Abstract

Let Γ be a population of elements or objects concerned by the problem of recognition. By assumption, some experts give probabilistic predictions of unknown belonging classes γ of objects a ∈ Γ , being already aware of their description X (a ) . In this paper, we present a method of aggregating sets of individual statements into a collective one using distances / similarities between multidimensional sets in heterogeneous feature space.