Pattern Recognition Distance Between Experts Statements Consensus
Institute of Information Theories and Applications FOI ITHEA
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.
∗ The work was supported by the RFBR under Grant N04-01-00858.